Paper Citation Record · LEDGER

D4RL: Datasets for Deep Data-Driven Reinforcement Learning

As of 5 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 100 inbound Pith citation observations for arXiv:2004.07219.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2004.07219 v4

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T23:19:17.322890Z

measured 124 of 124 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 100 of 130 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:52:46.789736Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

24 of 24 outbound references displayed

verified exact13
verified fuzzy5
unresolved0
parse uncertain0
malformed identifier1
metadata mismatch5

External citation measurements

332
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation a3c1607c-ae24-4103-a6d5-ac4d1bf911e0 · outbound

This paper cites On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift.

D4RL: Datasets for Deep Data-Driven Reinforcement Learning On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T23:19:17.350031Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4ddb077d-4ab4-4e16-8f28-80bfed67cb41 · outbound

This paper cites Scaling data-driven robotics with reward sketching and batch reinforcement learning.

D4RL: Datasets for Deep Data-Driven Reinforcement Learning Scaling data-driven robotics with reward sketching and batch reinforcement learning

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T23:19:17.358030Z

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Observation e9534e1a-3b3b-4f71-b5cc-fe50080a65fb · outbound

This paper cites End- to-end driving via conditional imitation learning.

D4RL: Datasets for Deep Data-Driven Reinforcement Learning End- to-end driving via conditional imitation learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:19:17.454535Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 27625d21-bc61-4912-97bf-001f9bab866e · outbound

This paper cites Challenges of Real-World Reinforcement Learning.

D4RL: Datasets for Deep Data-Driven Reinforcement Learning Challenges of Real-World Reinforcement Learning

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T23:19:17.399937Z

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Observation bfc646a4-47b4-4068-84fa-e9b213030d6c · outbound

This paper cites An empirical investigation of the challenges of real-world reinforcement learning.

D4RL: Datasets for Deep Data-Driven Reinforcement Learning An empirical investigation of the challenges of real-world reinforcement learning

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T23:19:17.403954Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 22f1d582-6358-4ddc-9f69-86b106be883b · outbound

This paper cites Off-Policy Deep Reinforcement Learning without Exploration.

D4RL: Datasets for Deep Data-Driven Reinforcement Learning Off-Policy Deep Reinforcement Learning without Exploration

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:19:17.409114Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f4bc3789-f7d7-4bf4-91aa-81d2fe885d58 · outbound

This paper cites Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates.

D4RL: Datasets for Deep Data-Driven Reinforcement Learning Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:19:17.471486Z

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Observation b0592225-ea90-47e1-bf98-8704da4577f9 · outbound

This paper cites Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning.

D4RL: Datasets for Deep Data-Driven Reinforcement Learning Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:19:17.414978Z

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Observation 5c4e3e26-8a0c-4db9-a6d1-16be3f6ac593 · outbound

This paper cites Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.

D4RL: Datasets for Deep Data-Driven Reinforcement Learning Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:48:10.852058Z

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Observation 68df719a-6080-45f7-8205-a8f327926b17 · outbound

This paper cites A Real-Time Model-Based Reinforcement Learning Architecture for Robot Control.

D4RL: Datasets for Deep Data-Driven Reinforcement Learning A Real-Time Model-Based Reinforcement Learning Architecture for Robot Control

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:25:11.510470Z

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Observation c6677e0b-b8ef-479f-83b7-a04ff281d78c · outbound

This paper cites RecSim: A Configurable Simulation Platform for Recommender Systems.

D4RL: Datasets for Deep Data-Driven Reinforcement Learning RecSim: A Configurable Simulation Platform for Recommender Systems

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:19:17.432972Z

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Observation 8850fa17-b592-49b3-914c-3ca670d20d07 · outbound

This paper cites Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog.

D4RL: Datasets for Deep Data-Driven Reinforcement Learning Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:19:17.438895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ce0e9a44-c3ff-492d-8b41-c1a1bd497106 · outbound

This paper cites Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction.

D4RL: Datasets for Deep Data-Driven Reinforcement Learning Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T23:19:17.444141Z

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Observation b1bc3922-d0e6-40bc-89f5-08672e92a0da · outbound

This paper cites Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems.

D4RL: Datasets for Deep Data-Driven Reinforcement Learning Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-12T23:19:17.449574Z

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Observation dcb8eeaf-0b4c-4764-8eac-50538e18f1bf · outbound

This paper cites AlgaeDICE: Policy Gradient from Arbitrary Experience.

D4RL: Datasets for Deep Data-Driven Reinforcement Learning AlgaeDICE: Policy Gradient from Arbitrary Experience

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:19:17.364644Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 60ec4de0-a61c-4ee8-a7dc-fdc81d508179 · outbound

This paper cites AWAC: Accelerating Online Reinforcement Learning with Offline Datasets.

D4RL: Datasets for Deep Data-Driven Reinforcement Learning AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-13T03:41:13.013491Z

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Observation 9ca6c1c0-191a-407d-9f18-79a353236244 · outbound

This paper cites Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning.

D4RL: Datasets for Deep Data-Driven Reinforcement Learning Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-12T23:19:17.378013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fb030031-43ef-4ba9-9115-f9d6f05640f3 · outbound

This paper cites Deep Imitative Models for Flexible Inference, Planning, and Control.

D4RL: Datasets for Deep Data-Driven Reinforcement Learning Deep Imitative Models for Flexible Inference, Planning, and Control

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:19:17.383831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5fc180cd-e726-4dbd-8194-476c6204ed10 · outbound

This paper cites Mujoco: A physics engine for model-based control.

D4RL: Datasets for Deep Data-Driven Reinforcement Learning Mujoco: A physics engine for model-based control

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:19:17.466685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 50a3e41c-c4df-4057-923a-f163b7cf1b81 · outbound

This paper cites Flow: A Modular Learning Framework for Mixed Autonomy Traffic.

D4RL: Datasets for Deep Data-Driven Reinforcement Learning Flow: A Modular Learning Framework for Mixed Autonomy Traffic

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-04T20:12:14.318237Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f23487c3-36f7-43bf-8abd-e58104d9bd1f · outbound

This paper cites Behavior Regularized Offline Reinforcement Learning.

D4RL: Datasets for Deep Data-Driven Reinforcement Learning Behavior Regularized Offline Reinforcement Learning

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-13T15:19:21.456208Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a382beaf-5594-4e50-b63d-4ec349c568b9 · outbound

This paper cites carla-town.

D4RL: Datasets for Deep Data-Driven Reinforcement Learning carla-town

Reference 23

Resolution: malformed identifier; raw_fallback, observed 2026-05-12T23:19:17.462257Z

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Observation 9d668e8c-4184-4d06-ab12-a8f095779585 · outbound

This paper cites (2017) Random, Controller Franka Kitchen Gupta et al.

D4RL: Datasets for Deep Data-Driven Reinforcement Learning (2017) Random, Controller Franka Kitchen Gupta et al

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:19:17.476151Z

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Observation 4fa517c2-2747-4d59-997a-b9a64c062f02 · outbound

This paper cites Training.

D4RL: Datasets for Deep Data-Driven Reinforcement Learning Training

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:19:17.458461Z

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Pith citing papers

Observation b03cbe9c-e8f5-4b3c-af90-3dc6ed420c31 · inbound

Decision Transformer: Reinforcement Learning via Sequence Modeling cites this paper.

Decision Transformer: Reinforcement Learning via Sequence Modeling D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-18T15:11:11.350481Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 96a97e61-ac58-4ab4-83c0-86c1fe1e232e · inbound

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation cites this paper.

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-13T08:51:55.889484Z

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Observation f0990480-5133-486b-98f6-55088ccd70d6 · inbound

Offline Reinforcement Learning with Implicit Q-Learning cites this paper.

Offline Reinforcement Learning with Implicit Q-Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:19:17.477461Z

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Observation eb7e1477-4135-4d10-aa68-f0701e0b9b29 · inbound

A Generalist Agent cites this paper.

A Generalist Agent D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-13T06:24:50.003323Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 056b3df7-809a-4f66-9d87-30044f2e8677 · inbound

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning cites this paper.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-15T07:55:15.719096Z

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Observation 2e383054-929e-49e3-aa6c-3220cb086042 · inbound

IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies cites this paper.

IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-13T13:48:36.463593Z

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Observation 8121b253-57dc-4d88-9350-1a3797ac843d · inbound

Reinforced Self-Training (ReST) for Language Modeling cites this paper.

Reinforced Self-Training (ReST) for Language Modeling D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-05-13T07:59:55.994990Z

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Observation 6007e803-a731-4848-9346-735f01200ceb · inbound

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution cites this paper.

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 115

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T08:12:31.498323Z

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Observation b443c3ce-7dc3-4900-abf3-2cee4db9d8d8 · inbound

CROP: Conservative Reward for Model-based Offline Policy Optimization cites this paper.

CROP: Conservative Reward for Model-based Offline Policy Optimization D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-24T06:39:01.273066Z

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Observation 5a6f5bcd-6534-4829-b82c-b488f681c20d · inbound

Diffusion Policy Policy Optimization cites this paper.

Diffusion Policy Policy Optimization D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-16T08:48:14.822907Z

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Observation 87d777e8-925b-4e41-a35a-3eb5d2dc0e9e · inbound

DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning cites this paper.

DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-17T16:06:09.706298Z

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Observation 768d8265-374c-461e-99ae-d608acbccdaa · inbound

SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks cites this paper.

SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-25T08:35:32.373740Z

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Observation 0b98c64b-e5f3-40c2-a30c-c8984397de76 · inbound

Self-Improving Skill Learning for Robust Skill-based Meta-Reinforcement Learning cites this paper.

Self-Improving Skill Learning for Robust Skill-based Meta-Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-23T03:25:20.960243Z

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Observation f2cadc78-32f1-4156-8ad2-cbb1b08b6c3e · inbound

VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning cites this paper.

VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-22T19:35:03.974184Z

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Observation 082498cf-373b-4224-8c6f-e362e0bc2cbc · inbound

Using Ensemble Diffusion to Estimate Uncertainty for End-to-End Autonomous Driving cites this paper.

Using Ensemble Diffusion to Estimate Uncertainty for End-to-End Autonomous Driving D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-25T08:20:32.161757Z

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Observation 08e7d6ac-5f1e-46a2-a11f-46da1e673db4 · inbound

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning cites this paper.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-19T10:52:15.282652Z

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Observation 5aad7009-083e-488c-9af3-ed08460e21cd · inbound

Reinforcement Learning with Action Chunking cites this paper.

Reinforcement Learning with Action Chunking D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-19T05:22:06.438696Z

Source-reported events for the cited work

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Observation def2e6e4-6bb0-4153-ab55-74b75950ddb4 · inbound

EXPO: Stable Reinforcement Learning with Expressive Policies cites this paper.

EXPO: Stable Reinforcement Learning with Expressive Policies D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T05:12:05.233681Z

Source-reported events for the cited work

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Observation a95ed71a-ccb4-4cca-8a15-e917a0b43254 · inbound

Re:Frame -- Retrieving Experience From Associative Memory cites this paper.

Re:Frame -- Retrieving Experience From Associative Memory D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 20

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Observation 4d68f3ad-e4fc-40e6-be86-ce3a31ed6f15 · inbound

LLM-Driven Policy Diffusion: Enhancing Generalization in Offline Reinforcement Learning cites this paper.

LLM-Driven Policy Diffusion: Enhancing Generalization in Offline Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 2024

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Source-reported events for the cited work

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Observation 8b32a97b-13a5-429d-8f21-7299b022d80f · inbound

Generative Auto-Bidding in Large-Scale Competitive Auctions via Diffusion Completer-Aligner cites this paper.

Generative Auto-Bidding in Large-Scale Competitive Auctions via Diffusion Completer-Aligner D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 46

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Source-reported events for the cited work

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Observation 105b4d2d-95fe-4035-8093-997cfb7f6976 · inbound

RaC: Robot Learning for Long-Horizon Tasks by Scaling Recovery and Correction cites this paper.

RaC: Robot Learning for Long-Horizon Tasks by Scaling Recovery and Correction D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 13

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Observation fbd857a9-8bbf-4418-9d10-9f27dceac450 · inbound

Wavelet Fourier Diffuser: Frequency-Aware Diffusion Model for Reinforcement Learning cites this paper.

Wavelet Fourier Diffuser: Frequency-Aware Diffusion Model for Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T10:30:59.176386Z

Source-reported events for the cited work

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Observation 31d12c3c-6aa9-4e46-b2e8-bcc925e672c5 · inbound

Geometric Analysis of Neural Regression Collapse via Intrinsic Dimension cites this paper.

Geometric Analysis of Neural Regression Collapse via Intrinsic Dimension D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-18T10:22:33.167687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5456f005-3387-4bba-9222-69cef5bd08d8 · inbound

The Three Regimes of Offline-to-Online Reinforcement Learning cites this paper.

The Three Regimes of Offline-to-Online Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T13:00:06.749438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ff1f605-4b91-41a4-928e-48d7f8e0ade7 · inbound

Distributional Inverse Reinforcement Learning cites this paper.

Distributional Inverse Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T12:42:57.503906Z

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Unavailable: canonical work link unavailable.

Observation b3b4b8d2-937b-461b-9751-b200c71aea67 · inbound

Value Flows cites this paper.

Value Flows D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T11:01:29.019869Z

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Observation 88ac4429-a9b8-48c8-b863-761caf8642c7 · inbound

When a Robot is More Capable than a Human: Learning from Constrained Demonstrators cites this paper.

When a Robot is More Capable than a Human: Learning from Constrained Demonstrators D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-18T08:36:07.502681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8b9c1b37-a5b4-4536-ad75-32bf82f10675 · inbound

From Static Constraints to Dynamic Adaptation: Sample-Level Constraint Relaxation for Offline-to-Online Reinforcement Learning cites this paper.

From Static Constraints to Dynamic Adaptation: Sample-Level Constraint Relaxation for Offline-to-Online Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-18T00:40:34.089204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5187225d-4763-413e-8056-f61c646e943b · inbound

From Static Constraints to Dynamic Adaptation: Sample-Level Constraint Relaxation for Offline-to-Online Reinforcement Learning cites this paper.

From Static Constraints to Dynamic Adaptation: Sample-Level Constraint Relaxation for Offline-to-Online Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-21T19:04:19.080330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 35d8367b-ce4e-4e4a-b7b2-c7bb1c9c8b11 · inbound

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization cites this paper.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:40:31.687030Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4de086e7-0914-4087-887c-b83b1a45af85 · inbound

Enhancing Robustness of Offline Reinforcement Learning Under Data Corruption via Sharpness-Aware Minimization cites this paper.

Enhancing Robustness of Offline Reinforcement Learning Under Data Corruption via Sharpness-Aware Minimization D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-17T22:40:23.549987Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d823fb07-b89e-4f25-a906-c48b7bf19298 · inbound

Training Diffusion Policies via Prior-Mapping Co-Evolution cites this paper.

Training Diffusion Policies via Prior-Mapping Co-Evolution D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-03T19:03:02.677475Z

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Observation afc9e374-ce41-4c19-8a29-4bd2ca6cb10a · inbound

What Drives Success in Physical Planning with Joint-Embedding Predictive World Models? cites this paper.

What Drives Success in Physical Planning with Joint-Embedding Predictive World Models? D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-21T15:34:15.055466Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0097d759-404e-46a8-8509-b5575182b672 · inbound

Agile Reinforcement Learning through Separable Neural Architecture and Applications cites this paper.

Agile Reinforcement Learning through Separable Neural Architecture and Applications D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-03T06:13:00.031328Z

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Observation 6bdbc15a-247f-426f-9354-62caed138ed6 · inbound

Optimization and Generation in Aerodynamics Inverse Design cites this paper.

Optimization and Generation in Aerodynamics Inverse Design D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-03T05:00:37.896103Z

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Observation c8d2bc5c-62e5-4b66-bc8a-af6bf541dbee · inbound

VGAS: Value-Guided Action-Chunk Selection for Few-Shot Vision-Language-Action Adaptation cites this paper.

VGAS: Value-Guided Action-Chunk Selection for Few-Shot Vision-Language-Action Adaptation D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-25T07:00:26.103492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a02efa69-4ede-40bb-a01d-524440790899 · inbound

SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows cites this paper.

SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-16T03:37:13.883578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation eb39c09e-d1d7-408d-b62c-421242145b72 · inbound

SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows cites this paper.

SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T02:53:15.220023Z

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Observation 9994c1e3-cfea-43ac-a448-9b2ec568ecc5 · inbound

Improving Diffusion Planners by Self-Supervised Action Gating with Energies cites this paper.

Improving Diffusion Planners by Self-Supervised Action Gating with Energies D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-02T19:22:10.643647Z

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Unavailable: canonical work link unavailable.

Observation 49fe07e8-0158-4b31-bc4c-500d4644040f · inbound

What Does Flow Matching Bring To TD Learning? cites this paper.

What Does Flow Matching Bring To TD Learning? D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 22

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T16:36:17.891180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0ebca3db-c17c-4070-8574-b1e1eef07451 · inbound

Offline Materials Optimization with CliqueFlowmer cites this paper.

Offline Materials Optimization with CliqueFlowmer D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-15T15:36:13.368034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f5a947da-c221-46c4-b46b-19a01174cdf6 · inbound

WestWorld: A Knowledge-Encoded Scalable Trajectory World Model for Diverse Robotic Systems cites this paper.

WestWorld: A Knowledge-Encoded Scalable Trajectory World Model for Diverse Robotic Systems D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-21T11:44:09.368937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 76d88731-d32f-4c2f-a51e-9ac0178b4463 · inbound

OPRIDE: Offline Preference-based Reinforcement Learning via In-Dataset Exploration cites this paper.

OPRIDE: Offline Preference-based Reinforcement Learning via In-Dataset Exploration D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-15T21:40:21.069448Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1205d63e-d996-4c7f-90e1-76b626f235c8 · inbound

Genuine pair density wave order on the kagome lattice cites this paper.

Genuine pair density wave order on the kagome lattice D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-13T13:17:06.175932Z

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Observation 9712c528-5430-493c-bb61-6410c676f04c · inbound

ReinVBC: A Model-based Reinforcement Learning Approach to Vehicle Braking Controller cites this paper.

ReinVBC: A Model-based Reinforcement Learning Approach to Vehicle Braking Controller D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:19:17.477461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e3d4369c-2edd-4654-8f6a-7a530f96f858 · inbound

GIRL: Generative Imagination Reinforcement Learning via Information-Theoretic Hallucination Control cites this paper.

GIRL: Generative Imagination Reinforcement Learning via Information-Theoretic Hallucination Control D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:19:17.477461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 61f24b5e-0e21-4723-ab70-4d3bf8bdecc8 · inbound

ScoRe-Flow: Complete Distributional Control via Score-Based Reinforcement Learning for Flow Matching cites this paper.

ScoRe-Flow: Complete Distributional Control via Score-Based Reinforcement Learning for Flow Matching D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:19:17.477461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 190e4f2f-e278-4ee9-8593-9eace7de7c56 · inbound

Fisher Decorator: Refining Flow Policy via a Local Transport Map cites this paper.

Fisher Decorator: Refining Flow Policy via a Local Transport Map D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:19:17.477461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fdba2290-af2c-49d6-8d2c-e84a4fcd6e54 · inbound

DAG-STL: A Hierarchical Framework for Zero-Shot Trajectory Planning under Signal Temporal Logic Specifications cites this paper.

DAG-STL: A Hierarchical Framework for Zero-Shot Trajectory Planning under Signal Temporal Logic Specifications D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T23:19:17.477461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c66bfe18-9a1c-4107-a25b-10e7dd7c5f43 · inbound

Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning cites this paper.

Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:19:17.477461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 464a0396-f629-4e6c-b26f-4b39347c925f · inbound

Preserve Support, Not Correspondence: Dynamic Routing for Offline Reinforcement Learning cites this paper.

Preserve Support, Not Correspondence: Dynamic Routing for Offline Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T23:19:17.477461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a84a47fc-3a2c-4d00-9698-2d3450947a1d · inbound

When Policies Cannot Be Retrained: A Unified Closed-Form View of Post-Training Steering in Offline Reinforcement Learning cites this paper.

When Policies Cannot Be Retrained: A Unified Closed-Form View of Post-Training Steering in Offline Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:19:17.477461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 18cabee3-709c-4f69-85c7-566a74ba41d8 · inbound

A Reward-Free Viewpoint on Multi-Objective Reinforcement Learning cites this paper.

A Reward-Free Viewpoint on Multi-Objective Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:19:17.477461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 66f36f7c-97aa-4bc2-9122-46775a80aba1 · inbound

SpecRLBench: A Benchmark for Generalization in Specification-Guided Reinforcement Learning cites this paper.

SpecRLBench: A Benchmark for Generalization in Specification-Guided Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:19:17.477461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 10136481-a4dd-4b07-910e-e847d1dade26 · inbound

Borrowed Geometry: Cross-Distribution Head-Importance Fingerprints of Frozen Pretrained Gemma 4 31B cites this paper.

Borrowed Geometry: Cross-Distribution Head-Importance Fingerprints of Frozen Pretrained Gemma 4 31B D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:19:17.477461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ca971361-1454-46ed-a56f-7e766c9ecb40 · inbound

Borrowed Geometry: Cross-Distribution Head-Importance Fingerprints of Frozen Pretrained Gemma 4 31B cites this paper.

Borrowed Geometry: Cross-Distribution Head-Importance Fingerprints of Frozen Pretrained Gemma 4 31B D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-21T00:29:17.328144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3bd84c05-6355-435e-9499-8b697f1c501c · inbound

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning cites this paper.

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T23:19:17.477461Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7fdfa13b-b218-4768-b952-242a14399073 · inbound

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning cites this paper.

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T00:45:11.861707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c43bb4b8-d90c-46e0-9218-f097d8f54369 · inbound

QHyer: Q-conditioned Hybrid Attention-mamba Transformer for Offline Goal-conditioned RL cites this paper.

QHyer: Q-conditioned Hybrid Attention-mamba Transformer for Offline Goal-conditioned RL D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T23:19:17.477461Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c17af99f-deba-4ed7-a985-9d972bd8a6ca · inbound

AdamO: A Collapse-Suppressed Optimizer for Offline RL cites this paper.

AdamO: A Collapse-Suppressed Optimizer for Offline RL D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 71

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T23:19:17.477461Z

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Observation cf50f462-3ba9-4e54-9f39-99c5fb671ce3 · inbound

OGPO: Sample Efficient Full-Finetuning of Generative Control Policies cites this paper.

OGPO: Sample Efficient Full-Finetuning of Generative Control Policies D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 145

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:19:17.477461Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7f2b5ac5-f29a-402d-86da-8695f7888a87 · inbound

OGPO: Sample Efficient Full-Finetuning of Generative Control Policies cites this paper.

OGPO: Sample Efficient Full-Finetuning of Generative Control Policies D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-07-01T00:05:09.698570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 24b3ba85-c884-47fe-85b1-f56cffe7dd96 · inbound

Adaptive Policy Selection and Fine-Tuning under Interaction Budgets for Offline-to-Online Reinforcement Learning cites this paper.

Adaptive Policy Selection and Fine-Tuning under Interaction Budgets for Offline-to-Online Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:19:17.477461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dc57dcd3-07fe-47ae-ae2a-e3e1efdcdcca · inbound

When Life Gives You BC, Make Q-functions: Extracting Q-values from Behavior Cloning for On-Robot Reinforcement Learning cites this paper.

When Life Gives You BC, Make Q-functions: Extracting Q-values from Behavior Cloning for On-Robot Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 61

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T23:19:17.477461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d828322f-2d29-4f44-a7f2-160889b7446b · inbound

When Life Gives You BC, Make Q-functions: Extracting Q-values from Behavior Cloning for On-Robot Reinforcement Learning cites this paper.

When Life Gives You BC, Make Q-functions: Extracting Q-values from Behavior Cloning for On-Robot Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-06-30T23:25:07.008761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b6b75675-be3b-4006-a910-0a84b22b2387 · inbound

Beyond Autoregressive RTG: Conditioning via Injection Outside Sequential Modeling in Decision Transformer cites this paper.

Beyond Autoregressive RTG: Conditioning via Injection Outside Sequential Modeling in Decision Transformer D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:19:17.477461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ff817eb7-3b28-4405-98e4-6c28d6b6c3af · inbound

Hitting Time Isomorphism for Multi-Stage Planning with Foundation Policies cites this paper.

Hitting Time Isomorphism for Multi-Stage Planning with Foundation Policies D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:19:17.477461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d9ecb821-828c-4490-951c-054cff5e55d9 · inbound

Beyond Penalization: Diffusion-based Out-of-Distribution Detection and Selective Regularization in Offline Reinforcement Learning cites this paper.

Beyond Penalization: Diffusion-based Out-of-Distribution Detection and Selective Regularization in Offline Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T23:19:17.477461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 126dba32-4761-4544-8df1-4cb6b8e91b78 · inbound

Path-Coupled Bellman Flows for Distributional Reinforcement Learning cites this paper.

Path-Coupled Bellman Flows for Distributional Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T23:19:17.477461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 674b60ee-f6a5-4472-9be6-b3ea984461eb · inbound

Muninn: Your Trajectory Diffusion Model But Faster cites this paper.

Muninn: Your Trajectory Diffusion Model But Faster D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T23:19:17.477461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5168a44a-e61d-4195-ace1-3e30d6303173 · inbound

RankQ: Offline-to-Online Reinforcement Learning via Self-Supervised Action Ranking cites this paper.

RankQ: Offline-to-Online Reinforcement Learning via Self-Supervised Action Ranking D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-13T02:37:08.265876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f1b1d3b8-6b7a-49ac-9ea9-261dd9604361 · inbound

RankQ: Offline-to-Online Reinforcement Learning via Self-Supervised Action Ranking cites this paper.

RankQ: Offline-to-Online Reinforcement Learning via Self-Supervised Action Ranking D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-21T08:54:05.820213Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 38465ba8-f265-4ffc-a194-0da14a4ed6a9 · inbound

Discrete Flow Matching for Offline-to-Online Reinforcement Learning cites this paper.

Discrete Flow Matching for Offline-to-Online Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-05-13T05:52:22.621567Z

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Observation e4d16ba0-f6d5-4fdd-a772-588d649e45a1 · inbound

Aligning Flow Map Policies with Optimal Q-Guidance cites this paper.

Aligning Flow Map Policies with Optimal Q-Guidance D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-13T05:07:17.469255Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a5acfc70-d5e7-43e2-b95c-0f1863985a87 · inbound

Bridging Domain Gaps with Target-Aligned Generation for Offline Reinforcement Learning cites this paper.

Bridging Domain Gaps with Target-Aligned Generation for Offline Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-14T20:12:54.863399Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f7760670-0df6-4bb9-8cf4-69235e2804c6 · inbound

Trajectory-Level Data Augmentation for Offline Reinforcement Learning cites this paper.

Trajectory-Level Data Augmentation for Offline Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-14T20:09:26.246608Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation def7e9d9-865b-4986-8179-fd7c5d15688b · inbound

Q-Flow: Stable and Expressive Reinforcement Learning with Flow-Based Policy cites this paper.

Q-Flow: Stable and Expressive Reinforcement Learning with Flow-Based Policy D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-14T19:27:51.683262Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation adfd5b49-d753-43f4-864b-8cb788035b6f · inbound

Q-Flow: Stable and Expressive Reinforcement Learning with Flow-Based Policy cites this paper.

Q-Flow: Stable and Expressive Reinforcement Learning with Flow-Based Policy D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:25:46.676612Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 237d37e1-954c-4458-9241-6c3cc4ed5702 · inbound

Matrix-Space Reinforcement Learning for Reusing Local Transition Geometry cites this paper.

Matrix-Space Reinforcement Learning for Reusing Local Transition Geometry D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-15T02:03:28.786780Z

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Observation d55df0e7-3ba9-46ad-80ea-eb57cb4a6040 · inbound

ROAD: Adaptive Data Mixing for Offline-to-Online Reinforcement Learning via Bi-Level Optimization cites this paper.

ROAD: Adaptive Data Mixing for Offline-to-Online Reinforcement Learning via Bi-Level Optimization D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:33:27.173421Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8198ffb8-9122-401a-bff6-c39122b2a403 · inbound

Peng's Q($\lambda$) for Conservative Value Estimation in Offline Reinforcement Learning cites this paper.

Peng's Q($\lambda$) for Conservative Value Estimation in Offline Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:25:45.828541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3733f407-d294-46b9-9a2f-ebebce9c9633 · inbound

Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making cites this paper.

Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 289

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:59:02.182120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 43488997-d8b8-465b-b061-0582c4de41c9 · inbound

ISEP: Implicit Support Expansion for Offline Reinforcement Learning via Stochastic Policy Optimization cites this paper.

ISEP: Implicit Support Expansion for Offline Reinforcement Learning via Stochastic Policy Optimization D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-05-20T12:08:15.446243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 93b0f1b0-0f9c-4e52-9bae-199ba0d54173 · inbound

Planner-Admissible Graph-PDE Value Extensions for Sparse Goal-Conditioned Planning cites this paper.

Planner-Admissible Graph-PDE Value Extensions for Sparse Goal-Conditioned Planning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-20T11:43:15.373119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 84e4ed2a-33f8-405d-ae91-ead714c2f975 · inbound

Mechanisms of Misgeneralization in Physical Sequence Modeling cites this paper.

Mechanisms of Misgeneralization in Physical Sequence Modeling D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-21T07:44:48.731073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 13bbe72d-86e0-46db-b225-55663de43657 · inbound

stable-worldmodel: A Platform for Reproducible World Modeling Research and Evaluation cites this paper.

stable-worldmodel: A Platform for Reproducible World Modeling Research and Evaluation D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-05-22T09:01:20.300216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0083e051-41b1-47bf-adc2-b36f6b49bcf1 · inbound

Target-Aligned Bellman Backup for Cross-domain Offline Reinforcement Learning cites this paper.

Target-Aligned Bellman Backup for Cross-domain Offline Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-22T08:04:43.177451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ef85e69b-e9fa-42b6-933e-aa3bc3ad74af · inbound

Goal-Conditioned Agents that Learn Everything All at Once cites this paper.

Goal-Conditioned Agents that Learn Everything All at Once D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 57

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T05:00:21.689776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0483ddab-512c-4619-a015-6c90d733a3e4 · inbound

Nano World Models: A Minimalist Implementation of Future Video Prediction cites this paper.

Nano World Models: A Minimalist Implementation of Future Video Prediction D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-06-30T18:55:00.269724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d993b474-5cde-4561-9112-c7cfa0d22ab6 · inbound

Neuro-Inspired Inverse Learning for Planning and Control cites this paper.

Neuro-Inspired Inverse Learning for Planning and Control D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 89

Resolution: verified exact; local_arxiv, observed 2026-06-30T16:14:53.448530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d57e4617-eefe-4682-bab0-65e4c02a40ac · inbound

On the Stability and Realizability of Recurrent Polynomial Surrogate Ternary Logic Gate Networks cites this paper.

On the Stability and Realizability of Recurrent Polynomial Surrogate Ternary Logic Gate Networks D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-06-30T15:04:46.263955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f8673c23-e7cc-4c9e-a7e1-0eb89ca582e6 · inbound

Cross-Domain Energy-Guided Diffusion Generation for Off-Dynamics Reinforcement Learning cites this paper.

Cross-Domain Energy-Guided Diffusion Generation for Off-Dynamics Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-06-30T11:44:37.905162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 620cc88a-f8c3-4a09-b8de-8368248bf548 · inbound

Dynamic Neural Koopman Distillation for Real-Time Robot Control Using Diffusion Models cites this paper.

Dynamic Neural Koopman Distillation for Real-Time Robot Control Using Diffusion Models D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-07-01T15:45:48.219518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9bb7d4a3-abc3-43de-b545-3c4ccdbc78d5 · inbound

How to Mitigate the Distribution Shift Problem in Robotics Control: A Robust and Adaptive Approach Based on Offline to Online Imitation Learning cites this paper.

How to Mitigate the Distribution Shift Problem in Robotics Control: A Robust and Adaptive Approach Based on Offline to Online Imitation Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T22:03:59.792125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 13412e0f-17b7-4ab5-9482-8704fa492281 · inbound

Back to Parsimonious Latents: Learning Task-Centric World Models from Visual Foundations cites this paper.

Back to Parsimonious Latents: Learning Task-Centric World Models from Visual Foundations D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-06-29T22:04:00.642255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 79c8ee20-236e-4919-a362-eb5da8c599a2 · inbound

Latent Representation Alignment for Offline Goal-Conditioned Reinforcement Learning cites this paper.

Latent Representation Alignment for Offline Goal-Conditioned Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T22:34:02.574506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2778117a-0dbd-4f99-87f7-bd8ec7e2894c · inbound

Aligning Few-Step Generative Models by Amortizing Sample-based Variational Inference cites this paper.

Aligning Few-Step Generative Models by Amortizing Sample-based Variational Inference D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:23:54.102250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 748f8126-2dba-4f68-b95e-629533aaf2f5 · inbound

SPAR: Support-Preserving Action Rectification cites this paper.

SPAR: Support-Preserving Action Rectification D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-06-29T14:43:30.969198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dda4bdf0-2a28-435e-b842-2f9e7fc58c6a · inbound

Regularized Offline Policy Optimization with Posterior Hybrid Bayesian Belief cites this paper.

Regularized Offline Policy Optimization with Posterior Hybrid Bayesian Belief D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-02T12:46:50.820790Z

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