Paper Citation Record · LEDGER

Behavior Regularized Offline Reinforcement Learning

As of 5 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 59 inbound Pith citation observations for arXiv:1911.11361.

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

pith.paper-citation-record.v1
1911.11361 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T15:19:21.367628Z

measured 79 of 79 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 59 of 59 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:30:59.112579Z

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

20 of 20 outbound references displayed

verified exact14
verified fuzzy3
unresolved1
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

1
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 06ae7e58-308f-472a-8d03-edbfd6b3e6ae · outbound

This paper cites Maximum a Posteriori Policy Optimisation.

Behavior Regularized Offline Reinforcement Learning Maximum a Posteriori Policy Optimisation

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-13T15:19:21.384956Z

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Observation b92ebeef-a629-4390-b315-c341af45c056 · outbound

This paper cites An Optimistic Perspective on Offline Reinforcement Learning.

Behavior Regularized Offline Reinforcement Learning An Optimistic Perspective on Offline Reinforcement Learning

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-13T15:19:21.390202Z

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Observation 252d7f97-2309-4331-9cf7-f6e58e14ef8d · outbound

This paper cites Residual algorithms: Reinforcement learning with function approximation.

Behavior Regularized Offline Reinforcement Learning Residual algorithms: Reinforcement learning with function approximation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T15:19:21.445329Z

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Observation 3407c222-eb82-4d02-ae71-0fd10e08a173 · outbound

This paper cites OpenAI Gym.

Behavior Regularized Offline Reinforcement Learning OpenAI Gym

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-13T15:19:21.414803Z

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Observation c1acbe81-2593-43f4-9dc4-2db4eea566ba · outbound

This paper cites Diagnosing Bottlenecks in Deep Q-learning Algorithms.

Behavior Regularized Offline Reinforcement Learning Diagnosing Bottlenecks in Deep Q-learning Algorithms

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-04T23:25:51.131241Z

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Observation b6b042a1-08d5-4666-8bde-5a1126682347 · outbound

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

Behavior Regularized Offline Reinforcement Learning Off-Policy Deep Reinforcement Learning without Exploration

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-13T15:19:21.423129Z

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Observation 45e0609b-6d5d-45c7-ad4e-df10c522ee28 · outbound

This paper cites an unresolved cited work.

Behavior Regularized Offline Reinforcement Learning Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-05-13T15:19:21.455180Z

Source-reported events for the cited work

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Observation 83f3ecad-3210-405a-9a0b-51dca9688678 · outbound

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

Behavior Regularized Offline Reinforcement Learning Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-13T15:19:21.427156Z

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Observation 35458c85-07ee-40b9-a1ce-6a8346badca0 · outbound

This paper cites Off-Policy Evaluation via Off-Policy Classification.

Behavior Regularized Offline Reinforcement Learning Off-Policy Evaluation via Off-Policy Classification

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-13T15:19:21.431260Z

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Observation c3c973c9-edca-4681-8eec-d787f2c36444 · outbound

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

Behavior Regularized Offline Reinforcement Learning Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-13T15:19:21.435201Z

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Observation 3e80bcb5-9896-41f8-b0e7-abe10bae736d · outbound

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

Behavior Regularized Offline Reinforcement Learning Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T15:19:21.438740Z

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Observation 9690e71a-dc55-4ea6-b2d9-353c1ada4f71 · outbound

This paper cites Safe Policy Improvement with Baseline Bootstrapping.

Behavior Regularized Offline Reinforcement Learning Safe Policy Improvement with Baseline Bootstrapping

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-04T23:41:48.517026Z

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Observation d7cdf11a-cf36-4e90-ae59-688703bd6cf0 · outbound

This paper cites Continuous control with deep reinforcement learning.

Behavior Regularized Offline Reinforcement Learning Continuous control with deep reinforcement learning

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-13T15:19:21.394456Z

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Observation 2e0a7bfb-6e1d-49b1-8409-69b6be9f60f8 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Behavior Regularized Offline Reinforcement Learning Playing Atari with Deep Reinforcement Learning

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-13T15:19:21.398489Z

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Observation d7727fdf-2026-46b1-9439-40732d01decc · outbound

This paper cites Asynchronous methods for deep reinforcement learning.

Behavior Regularized Offline Reinforcement Learning Asynchronous methods for deep reinforcement learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T15:19:21.450328Z

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Observation 9ee4315b-5939-41f4-a9b2-aabf0ac682a0 · outbound

This paper cites Trust-PCL: An Off-Policy Trust Region Method for Continuous Control.

Behavior Regularized Offline Reinforcement Learning Trust-PCL: An Off-Policy Trust Region Method for Continuous Control

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-04T22:34:15.110658Z

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Observation 4ba809e1-f758-431f-ab64-282d13f4702a · outbound

This paper cites DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections.

Behavior Regularized Offline Reinforcement Learning DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-13T15:19:21.407189Z

Source-reported events for the cited work

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Observation 30fef271-52dd-4251-ad54-d8d0b55315bc · outbound

This paper cites Deep Reinforcement Learning and the Deadly Triad.

Behavior Regularized Offline Reinforcement Learning Deep Reinforcement Learning and the Deadly Triad

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-13T15:19:21.411238Z

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Observation 585f8302-f87b-4414-a5bc-955498b65522 · outbound

This paper cites Each dataset contains 1 million transitions.

Behavior Regularized Offline Reinforcement Learning Each dataset contains 1 million transitions

Reference 19

Resolution: malformed identifier; raw_fallback, observed 2026-05-13T15:19:21.448121Z

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 ce37897d-5852-42be-9718-c7aeae0ccc61 · outbound

This paper cites Gradient penalty (one sided version of the penalty in Gulrajani et al.

Behavior Regularized Offline Reinforcement Learning Gradient penalty (one sided version of the penalty in Gulrajani et al

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T15:19:21.452481Z

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Pith citing papers

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

D4RL: Datasets for Deep Data-Driven Reinforcement Learning cites this paper.

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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Observation 0917520c-e628-477f-b86c-b7c6188dbb71 · inbound

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

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Behavior Regularized Offline Reinforcement Learning

Reference 173

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T15:19:21.456208Z

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Observation 765bef19-fcc1-489c-acba-1172f6b4b3f3 · inbound

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

Decision Transformer: Reinforcement Learning via Sequence Modeling Behavior Regularized Offline Reinforcement Learning

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-18T15:11:11.319161Z

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Observation 75f85732-0c04-47a5-b31f-69d2ca963c83 · 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 Behavior Regularized Offline Reinforcement Learning

Reference 37

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

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Observation f64fabc1-1a1d-408c-bda8-03bc7021c3f7 · inbound

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

Offline Reinforcement Learning with Implicit Q-Learning Behavior Regularized Offline Reinforcement Learning

Reference 13

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

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Observation b5d510ac-e9e6-4f65-9da6-a99fdb5cef21 · 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 Behavior Regularized Offline Reinforcement Learning

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-15T07:55:15.772701Z

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Observation e2be11f9-e0d6-47a7-bd22-195289c344a3 · inbound

Is Conditional Generative Modeling all you need for Decision-Making? cites this paper.

Is Conditional Generative Modeling all you need for Decision-Making? Behavior Regularized Offline Reinforcement Learning

Reference 134

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T15:35:10.764277Z

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Observation 55ee2c2c-377b-40b0-b152-b073598958a3 · 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 Behavior Regularized Offline Reinforcement Learning

Reference 48

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

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Observation 806917f9-2128-4109-904b-6806ed8b63a9 · inbound

A Review of Causal Decision Making cites this paper.

A Review of Causal Decision Making Behavior Regularized Offline Reinforcement Learning

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:47:26.303995Z

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

Observation 42d5572d-c0b5-4403-b4d6-6f933d934507 · inbound

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

VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning Behavior Regularized Offline Reinforcement Learning

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-22T19:35:03.974431Z

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Observation 08129b76-4f33-4ed9-9afa-a22c420908cf · inbound

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

Wavelet Fourier Diffuser: Frequency-Aware Diffusion Model for Reinforcement Learning Behavior Regularized Offline Reinforcement Learning

Reference 9

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Source-reported events for the cited work

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Observation 1efc85fd-624a-4372-92a4-6a50001a3ea7 · inbound

Density-Ratio Weighted Behavioral Cloning: Learning Control Policies from Corrupted Datasets cites this paper.

Density-Ratio Weighted Behavioral Cloning: Learning Control Policies from Corrupted Datasets Behavior Regularized Offline Reinforcement Learning

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-21T20:54:21.643027Z

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Observation 495b7b13-f15e-4645-9999-fe494460d8c4 · inbound

Value Flows cites this paper.

Value Flows Behavior Regularized Offline Reinforcement Learning

Reference 83

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Source-reported events for the cited work

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Observation dbe55e0d-a0ad-4698-8b26-ff4c518e443e · inbound

Offline Reinforcement Learning with Generative Trajectory Policies cites this paper.

Offline Reinforcement Learning with Generative Trajectory Policies Behavior Regularized Offline Reinforcement Learning

Reference 50

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Observation f66d2dca-4c80-467d-9ed9-11657ba88217 · inbound

Dichotomous Diffusion Policy Optimization cites this paper.

Dichotomous Diffusion Policy Optimization Behavior Regularized Offline Reinforcement Learning

Reference 21

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Observation 933b222c-37b7-4b28-82b9-de8b415aa0f3 · inbound

On the Complexity of Offline Reinforcement Learning with $Q^\star$-Approximation and Partial Coverage cites this paper.

On the Complexity of Offline Reinforcement Learning with $Q^\star$-Approximation and Partial Coverage Behavior Regularized Offline Reinforcement Learning

Reference 27

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Observation 824c354f-8c00-4d96-9370-37f55efa3522 · inbound

Conservative Equilibrium Discovery in Offline Game-Theoretic Multiagent Reinforcement Learning cites this paper.

Conservative Equilibrium Discovery in Offline Game-Theoretic Multiagent Reinforcement Learning Behavior Regularized Offline Reinforcement Learning

Reference 30

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Hyperfastrl: Hypernetwork-based reinforcement learning for unified control of parametric chaotic PDEs cites this paper.

Hyperfastrl: Hypernetwork-based reinforcement learning for unified control of parametric chaotic PDEs Behavior Regularized Offline Reinforcement Learning

Reference 28

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Observation 148c999e-caa3-4570-8e21-210598083330 · inbound

Learning from Demonstration with Failure Awareness for Safe Robot Navigation cites this paper.

Learning from Demonstration with Failure Awareness for Safe Robot Navigation Behavior Regularized Offline Reinforcement Learning

Reference 16

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Observation a99306da-60fc-411c-afc1-e3b49488e233 · inbound

Pessimism-Free Offline Learning in General-Sum Games via KL Regularization cites this paper.

Pessimism-Free Offline Learning in General-Sum Games via KL Regularization Behavior Regularized Offline Reinforcement Learning

Reference 26

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Observation 932a20a2-733b-4978-8583-627793babb59 · inbound

Pessimism-Free Offline Learning in General-Sum Games via KL Regularization cites this paper.

Pessimism-Free Offline Learning in General-Sum Games via KL Regularization Behavior Regularized Offline Reinforcement Learning

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T23:39:13.528272Z

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Observation 5616167d-c061-4e09-9067-bd1e7576691a · inbound

Fast Rates in $\alpha$-Potential Games via Regularized Mirror Descent cites this paper.

Fast Rates in $\alpha$-Potential Games via Regularized Mirror Descent Behavior Regularized Offline Reinforcement Learning

Reference 35

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Observation 183ef916-8b87-4981-a677-326678c5b139 · inbound

Fast Rates in $\alpha$-Potential Games via Regularized Mirror Descent cites this paper.

Fast Rates in $\alpha$-Potential Games via Regularized Mirror Descent Behavior Regularized Offline Reinforcement Learning

Reference 40

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Observation 2726a3a4-e724-4d5b-bfce-d5b7edadcba8 · 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 Behavior Regularized Offline Reinforcement Learning

Reference 24

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Observation 8f3af840-3e14-47c8-becb-804337b8e558 · 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 Behavior Regularized Offline Reinforcement Learning

Reference 13

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Observation 2e5f7374-7691-4479-9c16-8ad386480d2e · 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 Behavior Regularized Offline Reinforcement Learning

Reference 204

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Observation ec13c5f2-ae10-4ada-a735-c9dfeb071674 · inbound

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

AdamO: A Collapse-Suppressed Optimizer for Offline RL Behavior Regularized Offline Reinforcement Learning

Reference 58

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T15:19:21.456208Z

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Observation e6345ba4-7702-4554-aedb-c55b7c1c4fc5 · inbound

An adaptive variance estimator for relative sparsity cites this paper.

An adaptive variance estimator for relative sparsity Behavior Regularized Offline Reinforcement Learning

Reference 101

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T15:19:21.456208Z

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Observation a630e76f-3544-4f10-a1ca-e95a4bf528b4 · inbound

On the Optimal Sample Complexity of Offline Multi-Armed Bandits with KL Regularization cites this paper.

On the Optimal Sample Complexity of Offline Multi-Armed Bandits with KL Regularization Behavior Regularized Offline Reinforcement Learning

Reference 56

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Observation a946cab4-1297-4ad0-9968-c016734422f5 · inbound

AstroAlertBench: Evaluating the Accuracy, Reasoning, and Honesty of Multimodal LLMs in Astronomical Classification cites this paper.

AstroAlertBench: Evaluating the Accuracy, Reasoning, and Honesty of Multimodal LLMs in Astronomical Classification Behavior Regularized Offline Reinforcement Learning

Reference 73

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T15:19:21.456208Z

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Observation aefdd0e6-76fd-42db-80cb-e9c752e84518 · inbound

Drifting Field Policy: A One-Step Generative Policy via Wasserstein Gradient Flow cites this paper.

Drifting Field Policy: A One-Step Generative Policy via Wasserstein Gradient Flow Behavior Regularized Offline Reinforcement Learning

Reference 64

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

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Observation ffa3e126-e098-40bb-a5eb-f6fe201c8057 · 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 Behavior Regularized Offline Reinforcement Learning

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T15:19:21.456208Z

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 63c5fded-be7b-4745-a725-c084af64f9b4 · inbound

Zero-shot Imitation Learning by Latent Topology Mapping cites this paper.

Zero-shot Imitation Learning by Latent Topology Mapping Behavior Regularized Offline Reinforcement Learning

Reference 56

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

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 3f3608e2-762a-4c0e-a06e-b4cf29459cf3 · 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 Behavior Regularized Offline Reinforcement Learning

Reference 11

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

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 4362b89d-50ce-4625-8303-fd111d078b05 · 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 Behavior Regularized Offline Reinforcement Learning

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-21T08:54:05.781779Z

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 6116149f-7a80-43da-b934-5cfb98534174 · inbound

TMRL: Diffusion Timestep-Modulated Pretraining Enables Exploration for Efficient Policy Finetuning cites this paper.

TMRL: Diffusion Timestep-Modulated Pretraining Enables Exploration for Efficient Policy Finetuning Behavior Regularized Offline Reinforcement Learning

Reference 23

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

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 6ec9c9ed-582a-4a7a-bb3b-a8a250fdf450 · inbound

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

Aligning Flow Map Policies with Optimal Q-Guidance Behavior Regularized Offline Reinforcement Learning

Reference 45

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

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 62492d95-73c1-4e21-92a5-883943d68e7e · 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 Behavior Regularized Offline Reinforcement Learning

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-14T20:12:54.825226Z

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 1d66c375-73cc-41e0-b836-f74a2e288b18 · 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 Behavior Regularized Offline Reinforcement Learning

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-14T19:27:51.709195Z

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 eae99009-4523-4a96-931f-5d300b910bfa · 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 Behavior Regularized Offline Reinforcement Learning

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:25:46.658353Z

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 cc5e60bd-d702-417e-9a3b-29ca20e024c1 · 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 Behavior Regularized Offline Reinforcement Learning

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:25:45.864510Z

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 54e9aa71-e3de-4721-a59d-dbf5d64f707f · inbound

COOPO: Cyclic Offline-Online Policy Optimization Algorithm cites this paper.

COOPO: Cyclic Offline-Online Policy Optimization Algorithm Behavior Regularized Offline Reinforcement Learning

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-20T13:13:18.046411Z

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 1d18ef97-ed01-4e62-b765-7cec0f68eb86 · 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 Behavior Regularized Offline Reinforcement Learning

Reference 102

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:23:54.043323Z

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 674744f1-5159-4346-9947-96a6756aff4e · inbound

SPAR: Support-Preserving Action Rectification cites this paper.

SPAR: Support-Preserving Action Rectification Behavior Regularized Offline Reinforcement Learning

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-06-29T14:43:30.999577Z

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 647f13be-8ac4-4238-b722-e56c9f627a42 · inbound

Moment Matching Q-Learning cites this paper.

Moment Matching Q-Learning Behavior Regularized Offline Reinforcement Learning

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-06-29T14:03:29.519731Z

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 617cd559-579a-47b8-b821-8d623146afb3 · inbound

When Offline Selectors Cannot Beat the Best Single Model: A Diagnostic Study on edX Dropout Prediction cites this paper.

When Offline Selectors Cannot Beat the Best Single Model: A Diagnostic Study on edX Dropout Prediction Behavior Regularized Offline Reinforcement Learning

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T02:16:26.269126Z

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 3aab3e34-b56d-488c-bbc7-57e65a2b34ca · inbound

UNIQ: Conformal Calibration for Adaptive Conservatism in Offline Reinforcement Learning cites this paper.

UNIQ: Conformal Calibration for Adaptive Conservatism in Offline Reinforcement Learning Behavior Regularized Offline Reinforcement Learning

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T08:43:15.138490Z

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 d359f891-5a75-4e24-ae5a-4f8771172a50 · inbound

Counterfactual Transport Flows for Offline Conservative Trajectory Refinement cites this paper.

Counterfactual Transport Flows for Offline Conservative Trajectory Refinement Behavior Regularized Offline Reinforcement Learning

Reference 42

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T23:57:28.579196Z

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 d8a92057-29fe-4451-b238-7579148f1aea · inbound

Fast and Highly Expressive Policy Learning for Offline Reinforcement Learning via Bootstrapped Flow Q-Learning cites this paper.

Fast and Highly Expressive Policy Learning for Offline Reinforcement Learning via Bootstrapped Flow Q-Learning Behavior Regularized Offline Reinforcement Learning

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-03T04:27:36.361729Z

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 40d2b0d4-c6ac-4afa-9ba9-0956e525f26b · inbound

Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning cites this paper.

Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning Behavior Regularized Offline Reinforcement Learning

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-07-03T04:17:36.918438Z

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 550ffca1-95b7-4952-98c5-05a4076069f0 · inbound

Reversal Q-Learning cites this paper.

Reversal Q-Learning Behavior Regularized Offline Reinforcement Learning

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-07-03T18:38:49.878345Z

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 8064d5cf-36a9-49c7-a1b7-1f92296fc2e0 · inbound

Offline Reinforcement Learning for Warehouse SLAM Throughput Control cites this paper.

Offline Reinforcement Learning for Warehouse SLAM Throughput Control Behavior Regularized Offline Reinforcement Learning

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-07-04T10:39:45.271472Z

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 b904ea4d-485d-4915-9f8b-e12248217d44 · inbound

Beyond One-Size-Fits-All: Diagnosis-Driven Online Reinforcement Learning with Offline Priors cites this paper.

Beyond One-Size-Fits-All: Diagnosis-Driven Online Reinforcement Learning with Offline Priors Behavior Regularized Offline Reinforcement Learning

Reference 72

Resolution: verified exact; local_arxiv, observed 2026-07-04T19:30:07.892023Z

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 d4efaf69-9cd8-47f3-8099-325661fe148c · inbound

Support-Constrained RL Enables Real-World Policy Improvement without Real-World Experience cites this paper.

Support-Constrained RL Enables Real-World Policy Improvement without Real-World Experience Behavior Regularized Offline Reinforcement Learning

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-07-01T18:25:58.759576Z

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 333e00da-25ef-47d5-b638-b8b2166a6438 · inbound

Offline Reinforcement Learning for Fluid Controls: Data-based Multi-observational Policy Extraction cites this paper.

Offline Reinforcement Learning for Fluid Controls: Data-based Multi-observational Policy Extraction Behavior Regularized Offline Reinforcement Learning

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-07-01T09:35:40.856236Z

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 405a6e6e-a03f-4800-8f5c-ed1fd658b44e · inbound

VINE: Taming Generative Control Policies for Reinforcement Learning cites this paper.

VINE: Taming Generative Control Policies for Reinforcement Learning Behavior Regularized Offline Reinforcement Learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-14T12:17:04.321971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d71456da-f613-4873-8330-e33d06acd1ce · inbound

Reinforcement Learning: From Algorithms To Foundation Models cites this paper.

Reinforcement Learning: From Algorithms To Foundation Models Behavior Regularized Offline Reinforcement Learning

Reference 206

Resolution: unresolved; no resolver link, observed 2026-08-01T17:45:16.846768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7116211-d4db-4c72-baab-b38f3a602b08 · inbound

Conservative Query and Adaptive Regularization for Offline RL Under Uncertainty Estimation cites this paper.

Conservative Query and Adaptive Regularization for Offline RL Under Uncertainty Estimation Behavior Regularized Offline Reinforcement Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T13:15:14.620583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32df2db8-2384-4a95-ad7f-c374e6cba6e4 · inbound

Deep Reinforcement Learning: From First Principles to Reasoning Models cites this paper.

Deep Reinforcement Learning: From First Principles to Reasoning Models Behavior Regularized Offline Reinforcement Learning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:04.732902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.