Paper Citation Record · LEDGER

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

As of 11 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 83 inbound Pith citation observations for arXiv:2208.06193.

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

pith.paper-citation-record.v1
2208.06193 v3

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T07:55:15.678348Z

measured 112 of 112 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 83 of 83 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:43:10.843823Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T06:49:37.744619Z

Reference resolution

29 of 29 outbound references displayed

verified exact17
verified fuzzy6
unresolved2
parse uncertain0
malformed identifier1
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eec0bf49-870f-4c19-9509-febcfe95ff3a · outbound

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

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Is Conditional Generative Modeling all you need for Decision-Making?

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:35:11.667805Z

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

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

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 09bfa496-0d19-4c70-b90d-196d3cace0d6 · outbound

This paper cites Off-policy deep reinforcement learning without exploration.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Off-policy deep reinforcement learning without exploration

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:55:15.866945Z

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Observation bdef00ee-3763-4b84-87e8-7416d08c579d · outbound

This paper cites Know Your Boundaries: The Necessity of Explicit Behavioral Cloning in Offline RL.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Know Your Boundaries: The Necessity of Explicit Behavioral Cloning in Offline RL

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T07:55:15.799302Z

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Observation cbd67746-5e7a-4a00-bc36-45eba698131b · outbound

This paper cites Planning with Diffusion for Flexible Behavior Synthesis.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Planning with Diffusion for Flexible Behavior Synthesis

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-15T07:55:15.806639Z

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Observation 15a2ef3a-8960-4322-b194-f505d72b1254 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Adam: A Method for Stochastic Optimization

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-15T07:55:15.813188Z

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Observation 2b680175-38fd-4be1-b83c-e58cf3e1ab98 · outbound

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

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Offline Reinforcement Learning with Implicit Q-Learning

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-15T07:55:15.820040Z

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Observation 1176ba35-2a80-4c29-bd9c-e9916b6c243d · outbound

This paper cites Continuous control with deep reinforcement learning.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Continuous control with deep reinforcement learning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-15T07:55:15.827422Z

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Observation e45bf9a9-d0eb-439f-a1f0-a4d5da48ae6a · outbound

This paper cites DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:55:15.834614Z

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Observation b0c20bb4-f22b-4b12-ae36-fcdfd60e549b · outbound

This paper cites Mildly Conservative Q-Learning for Offline Reinforcement Learning.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Mildly Conservative Q-Learning for Offline Reinforcement Learning

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:55:15.841431Z

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Observation d78308f1-b0aa-4040-94c8-a851a7274406 · outbound

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

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-15T07:55:15.851450Z

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Observation 7d877569-8fa1-4044-8954-9e689c3e98b9 · outbound

This paper cites Imitating Human Behaviour with Diffusion Models.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Imitating Human Behaviour with Diffusion Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:55:15.862233Z

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Observation 7799ebfd-dddb-4a76-b042-45125ebc1b32 · outbound

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

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-15T07:55:15.725977Z

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Observation faa0a6e7-1e72-4713-bff9-ae3ebe15d68e · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Progressive Distillation for Fast Sampling of Diffusion Models

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-15T07:55:15.733570Z

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Observation f31be01c-a54f-47c6-b36d-7199552fcd00 · outbound

This paper cites Behavior Transformers: Cloning $k$ modes with one stone.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Behavior Transformers: Cloning $k$ modes with one stone

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:55:15.742785Z

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Observation 5bfd00f3-66bf-4be0-ab96-8305917d02a9 · outbound

This paper cites Deep Unsupervised Learning using Nonequilibrium Thermodynamics.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T07:55:15.750609Z

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Observation 646bd8c7-3c4e-48c1-b818-bac504da60b7 · outbound

This paper cites Denoising Diffusion Implicit Models.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Denoising Diffusion Implicit Models

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-15T07:55:15.757468Z

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Observation 4597c9cd-12bf-4d7e-abd9-a6bef932c18a · outbound

This paper cites 11 Published as a conference paper at ICLR 2023 Richard S Sutton and Andrew G Barto.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning 11 Published as a conference paper at ICLR 2023 Richard S Sutton and Andrew G Barto

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:55:15.897816Z

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Observation dc3e612c-74ac-4adb-ac94-ea72f0493613 · outbound

This paper cites Diffusion-GAN: Training GANs with Diffusion.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Diffusion-GAN: Training GANs with Diffusion

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:55:15.766018Z

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Observation b5d510ac-e9e6-4f65-9da6-a99fdb5cef21 · outbound

This paper cites Behavior Regularized Offline Reinforcement Learning.

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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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0f516002-3b44-48c1-9288-7a306d8a37cb · outbound

This paper cites Tackling the Generative Learning Trilemma with Denoising Diffusion GANs.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:55:15.782473Z

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Observation 910a542d-217a-40b8-9616-a742d395493e · outbound

This paper cites Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T07:55:15.790173Z

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Observation 126a36ee-4124-4a85-960c-9631dbc26c36 · outbound

This paper cites Actions are again in a real-valued 2D space, a ∈ [−1, 1]2.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Actions are again in a real-valued 2D space, a ∈ [−1, 1]2

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:55:15.884405Z

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Observation 9da335d2-6e26-488f-804a-88b6e6399be4 · outbound

This paper cites For behavior-cloning experiments, we observe that only our diffusion model could recover the orig- inal data distribution while the prior regularization methods fail in some way.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning For behavior-cloning experiments, we observe that only our diffusion model could recover the orig- inal data distribution while the prior regularization methods fail in some way

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:55:15.888579Z

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Observation 6a7801aa-0b8f-42c0-8072-4de1ee3d2fcc · outbound

This paper cites C E XPERIMENTAL DETAILS We train our algorithm with 2000 epochs for Gym tasks and 1000 epochs for the other tasks, where each epoch consists of 1000 gradient steps.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning C E XPERIMENTAL DETAILS We train our algorithm with 2000 epochs for Gym tasks and 1000 epochs for the other tasks, where each epoch consists of 1000 gradient steps

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:55:15.893643Z

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Observation 9398589f-2a9e-43e8-b906-22f24c86974a · outbound

This paper cites an unresolved cited work.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-05-15T07:55:15.901707Z

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Observation 6f5da7f8-fb38-4ba8-baee-5e58384533ed · outbound

This paper cites an unresolved cited work.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-05-15T07:55:15.870971Z

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Observation 395d7135-2397-49e4-ab6b-1f201ea0ddd7 · outbound

This paper cites We have shown this results in learning better policies in offlineRL.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning We have shown this results in learning better policies in offlineRL

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:55:15.875344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9dd233b3-618a-4edb-81c0-2a3e8c99fe04 · outbound

This paper cites an unresolved cited work.

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Unresolved cited work

Reference 29

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Pith citing papers

Observation 7ac80405-8840-4ba6-8fe1-ebe993b28280 · inbound

Diffusion Policy: Visuomotor Policy Learning via Action Diffusion cites this paper.

Diffusion Policy: Visuomotor Policy Learning via Action Diffusion Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T07:55:15.903200Z

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Observation 994dbbe3-6b30-411a-8993-cfe8ece56105 · 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 Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:55:15.903200Z

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Observation d8de71e7-39be-44c8-8808-06dfd1f62b5a · inbound

Training Diffusion Models with Reinforcement Learning cites this paper.

Training Diffusion Models with Reinforcement Learning Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:55:15.903200Z

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3D Diffuser Actor: Policy Diffusion with 3D Scene Representations cites this paper.

3D Diffuser Actor: Policy Diffusion with 3D Scene Representations Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 39

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Observation f6229189-5202-48aa-b716-dfd78823ce01 · inbound

Diffusion Policy Policy Optimization cites this paper.

Diffusion Policy Policy Optimization Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 100

Resolution: verified exact; local_arxiv, observed 2026-05-16T08:48:15.032219Z

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Observation 4b3c8da6-746f-438d-8299-8c600536bc31 · inbound

From Screens to Scenes: A Survey of Embodied AI in Healthcare cites this paper.

From Screens to Scenes: A Survey of Embodied AI in Healthcare Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 241

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Generative AI-driven Cross-layer Covert Communication: Fundamentals, Framework and Case Study cites this paper.

Generative AI-driven Cross-layer Covert Communication: Fundamentals, Framework and Case Study Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 7

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Observation aad60dac-a116-4642-b486-1529543fe211 · inbound

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling cites this paper.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 83

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Observation a0ab7c18-6c95-4044-adfb-205e60997282 · inbound

Efficient Online Reinforcement Learning for Diffusion Policy cites this paper.

Efficient Online Reinforcement Learning for Diffusion Policy Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 47

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Observation 51d2b1ae-4cd8-4110-8204-3e02e3f2ea1e · inbound

HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model cites this paper.

HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-05-15T22:00:49.026210Z

Source-reported events for the cited work

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Observation fe1bf706-dab6-4486-b4e9-02a2ad4fac05 · inbound

BalancedDPO: Adaptive Multi-Metric Alignment cites this paper.

BalancedDPO: Adaptive Multi-Metric Alignment Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-22T23:42:16.576021Z

Source-reported events for the cited work

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Observation b847c2d6-688b-413d-807f-163f9a42b7f3 · inbound

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

VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-22T19:35:03.967979Z

Source-reported events for the cited work

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Observation a72f762f-edd0-4573-b06c-85b28c7a4840 · inbound

FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning cites this paper.

FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 19

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Observation 25dc2dab-b486-4eed-bb29-3dabaa895e39 · inbound

Cascaded Diffusion Models for Neural Motion Planning cites this paper.

Cascaded Diffusion Models for Neural Motion Planning Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 10

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Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL cites this paper.

Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 17

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Observation d52a9e49-a01c-4f4b-9059-477a16ecc566 · inbound

Decision Flow Policy Optimization cites this paper.

Decision Flow Policy Optimization Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 84

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Observation 77a45f2d-adb8-4921-b993-68bdfb79c047 · 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 Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-05-19T10:52:15.290962Z

Source-reported events for the cited work

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Observation 02e0fc2b-835e-4cf9-bd43-666c636f48ee · inbound

Real-Time Execution of Action Chunking Flow Policies cites this paper.

Real-Time Execution of Action Chunking Flow Policies Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-05-15T14:18:51.711991Z

Source-reported events for the cited work

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Observation fa19f191-2ee8-4b19-baf1-31e256d4836f · inbound

Semi-gradient DICE for Offline Constrained Reinforcement Learning cites this paper.

Semi-gradient DICE for Offline Constrained Reinforcement Learning Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 42

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Observation 39ef6507-02fa-43d7-8977-73111800c368 · inbound

ClutterDexGrasp: A Sim-to-Real System for General Dexterous Grasping in Cluttered Scenes cites this paper.

ClutterDexGrasp: A Sim-to-Real System for General Dexterous Grasping in Cluttered Scenes Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:18.829157Z

Source-reported events for the cited work

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Observation dcccf895-d921-48ad-a92c-e13efc3933ca · inbound

Steering Your Diffusion Policy with Latent Space Reinforcement Learning cites this paper.

Steering Your Diffusion Policy with Latent Space Reinforcement Learning Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-05-17T21:55:46.434493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 95dc4f19-86d8-4674-8e21-89a853191561 · inbound

Offline Reinforcement Learning with Penalized Action Noise Injection cites this paper.

Offline Reinforcement Learning with Penalized Action Noise Injection Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T20:38:35.366704Z

Source-reported events for the cited work

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Observation 302007d0-04f9-4809-a204-cca0d10cb5ed · inbound

Spatial-Temporal Aware Visuomotor Diffusion Policy Learning cites this paper.

Spatial-Temporal Aware Visuomotor Diffusion Policy Learning Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T19:05:23.018513Z

Source-reported events for the cited work

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Observation c4b99743-a20b-49c0-b964-25ec4014ab0e · inbound

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning cites this paper.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T17:47:42.030565Z

Source-reported events for the cited work

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Observation 7fdd4f8b-a471-4d08-9208-c889534d5e14 · inbound

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences cites this paper.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 163

Resolution: unresolved; no resolver link, observed 2026-08-06T05:35:39.646624Z

Source-reported events for the cited work

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Observation 0fed7347-ea3c-470b-8eb9-868e3a04b80d · inbound

Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning cites this paper.

Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 199

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:54.022841Z

Source-reported events for the cited work

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Observation cfacb3a9-9f64-4285-b382-e1bf72ae8d2b · inbound

Diffusion-RL Based Air Traffic Conflict Detection and Resolution Method cites this paper.

Diffusion-RL Based Air Traffic Conflict Detection and Resolution Method Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T11:23:27.342828Z

Source-reported events for the cited work

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Observation 5dbc7881-a16a-4492-b969-3e1883d7af6d · inbound

Diffusion-Guided Multi-Arm Motion Planning cites this paper.

Diffusion-Guided Multi-Arm Motion Planning Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:46.063817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6999ea11-2336-4272-bae1-a3bee618d4aa · inbound

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

Wavelet Fourier Diffuser: Frequency-Aware Diffusion Model for Reinforcement Learning Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T10:30:59.227479Z

Source-reported events for the cited work

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Observation de8e4e58-1c07-4bf5-a5c2-783642e85750 · inbound

Reinforcement Learning with Discrete Diffusion Policies for Combinatorial Action Spaces cites this paper.

Reinforcement Learning with Discrete Diffusion Policies for Combinatorial Action Spaces Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-05-21T21:15:38.694878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 73429f7f-7804-4655-a7d5-d0c0fede7592 · inbound

Diffusion Bridge or Flow Matching? A Unifying Framework and Comparative Analysis cites this paper.

Diffusion Bridge or Flow Matching? A Unifying Framework and Comparative Analysis Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:11.964736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffa0ba8b-3210-460c-b85b-28cacd99a5f9 · inbound

Value Flows cites this paper.

Value Flows Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-04T11:01:34.844971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d99e9b3b-e9cc-4c78-b051-75d5b6866443 · inbound

FM-IRL: Flow-Matching for Reward Modeling and Policy Regularization in Reinforcement Learning cites this paper.

FM-IRL: Flow-Matching for Reward Modeling and Policy Regularization in Reinforcement Learning Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T10:44:10.802074Z

Source-reported events for the cited work

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Observation 1c09ee03-1f21-430b-91b2-305a777b62d2 · inbound

Self-Imitated Diffusion Policy for Efficient and Robust Visual Navigation cites this paper.

Self-Imitated Diffusion Policy for Efficient and Robust Visual Navigation Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T06:23:16.060327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77cd936f-939d-43e5-997f-1270f5770f7f · inbound

How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? cites this paper.

How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:57:33.085981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 859563cd-2542-42ff-8b0b-273bafced1da · inbound

GeMPO: Generalized Measure Matching for Online Diffusion Reinforcement Learning cites this paper.

GeMPO: Generalized Measure Matching for Online Diffusion Reinforcement Learning Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-07-14T23:47:45.866615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e08b9d1-fae2-483e-9b0d-7efd2bf17d95 · inbound

Nonreciprocal current induced by dissipation in time-reversal symmetric systems cites this paper.

Nonreciprocal current induced by dissipation in time-reversal symmetric systems Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-13T09:47:32.460955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bc11e9b-b40a-4ab6-9298-7ce8b98e8fbe · inbound

Receding-Horizon Control via Drifting Models cites this paper.

Receding-Horizon Control via Drifting Models Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:55:15.903200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bb587849-e519-40dd-a030-5b7a873e31e6 · inbound

Efficient Hierarchical Implicit Flow Q-learning for Offline Goal-conditioned Reinforcement Learning cites this paper.

Efficient Hierarchical Implicit Flow Q-learning for Offline Goal-conditioned Reinforcement Learning Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:55:15.903200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e270f2cb-8855-4743-b19d-fead74681d6b · inbound

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

Fisher Decorator: Refining Flow Policy via a Local Transport Map Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:55:15.903200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 11044c6c-895c-406f-9c18-cdd5bf0488d9 · inbound

Accelerating trajectory optimization with Sobolev-trained diffusion policies cites this paper.

Accelerating trajectory optimization with Sobolev-trained diffusion policies Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T07:55:15.903200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5047ad81-58a9-4fd8-9e0a-9009460d4c1d · inbound

FASTER: Value-Guided Sampling for Fast RL cites this paper.

FASTER: Value-Guided Sampling for Fast RL Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 9

Resolution: malformed identifier; arxiv_id, observed 2026-05-15T07:55:15.903200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3e25564b-0eb6-4af3-8621-c2d36ed2b7ec · inbound

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

AdamO: A Collapse-Suppressed Optimizer for Offline RL Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T07:55:15.903200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 59bea60f-96b3-445c-abce-b49fa4767182 · inbound

Refining Compositional Diffusion for Reliable Long-Horizon Planning cites this paper.

Refining Compositional Diffusion for Reliable Long-Horizon Planning Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:55:15.903200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8f1a1ee9-8cd1-431d-af09-e21b364578dd · 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 Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T07:55:15.903200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dcd47bc1-4b30-4ad2-af28-666395e741c6 · inbound

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

Path-Coupled Bellman Flows for Distributional Reinforcement Learning Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T07:55:15.903200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9a21c44e-d57a-44f2-833e-9bcb96dd0bf6 · inbound

Insider Attacks in Multi-Agent LLM Consensus Systems cites this paper.

Insider Attacks in Multi-Agent LLM Consensus Systems Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 95

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T07:55:15.903200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 885def38-d9cc-494f-8a51-1aed58f8b554 · inbound

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

Muninn: Your Trajectory Diffusion Model But Faster Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 62

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T07:55:15.903200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 70149c94-010d-4d69-92d4-e50b0a1c2d02 · inbound

Revisiting Policy Gradients for Restricted Policy Classes: Escaping Myopic Local Optima with $k$-step Policy Gradients cites this paper.

Revisiting Policy Gradients for Restricted Policy Classes: Escaping Myopic Local Optima with $k$-step Policy Gradients Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:55:15.903200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 07f84e69-f09e-4bb6-beb1-948d76993f72 · inbound

Block-R1: Rethinking the Role of Block Size in Multi-domain Reinforcement Learning for Diffusion Large Language Models cites this paper.

Block-R1: Rethinking the Role of Block Size in Multi-domain Reinforcement Learning for Diffusion Large Language Models Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:55:15.903200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9ac5a5b9-5dca-4786-8015-9a89c3cd5137 · inbound

Block-R1: Rethinking the Role of Block Size in Multi-domain Reinforcement Learning for Diffusion Large Language Models cites this paper.

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:55:15.903200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e1513347-6a38-43d6-a94f-40200bedea25 · inbound

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

Aligning Flow Map Policies with Optimal Q-Guidance Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:55:15.903200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6b9ba123-3d86-4eb9-9832-7fe3b741f56e · inbound

Driving Intents Amplify Planning-Oriented Reinforcement Learning cites this paper.

Driving Intents Amplify Planning-Oriented Reinforcement Learning Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:55:15.903200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 63508570-6442-4507-a77e-63052d1cf11d · inbound

Driving Intents Amplify Planning-Oriented Reinforcement Learning cites this paper.

Driving Intents Amplify Planning-Oriented Reinforcement Learning Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:55:15.903200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 05e5801a-de5e-48db-bab0-60ccbc6a55e7 · inbound

JEDI: Joint Embedding Diffusion World Model for Online Model-Based Reinforcement Learning cites this paper.

JEDI: Joint Embedding Diffusion World Model for Online Model-Based Reinforcement Learning Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:55:15.903200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 293975ad-1b8a-429d-b0ab-a73b8e79fe76 · inbound

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

Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T20:59:01.955010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aa53d60e-5d78-4539-89b7-1db658aea058 · inbound

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing cites this paper.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 211

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T20:18:59.888321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 84d67496-976e-4353-b5ff-c0138c0423d0 · inbound

D$^3$-Subsidy: Online and Sequential Driver Subsidy Decision-Making for Large-Scale Ride-Hailing Market cites this paper.

D$^3$-Subsidy: Online and Sequential Driver Subsidy Decision-Making for Large-Scale Ride-Hailing Market Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-20T06:53:05.959925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 009132cc-b9d1-4aa3-a6f9-141e6376e6db · inbound

D$^3$-Subsidy: Online and Sequential Driver Subsidy Decision-Making for Large-Scale Ride-Hailing Market cites this paper.

D$^3$-Subsidy: Online and Sequential Driver Subsidy Decision-Making for Large-Scale Ride-Hailing Market Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-21T07:29:48.459245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6aa08e93-4571-4600-823f-17b3360c0a25 · inbound

D$^3$-Subsidy: Online and Sequential Driver Subsidy Decision-Making for Large-Scale Ride-Hailing Market cites this paper.

D$^3$-Subsidy: Online and Sequential Driver Subsidy Decision-Making for Large-Scale Ride-Hailing Market Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-22T09:24:46.740380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 924b9bc7-efb3-4933-a760-634ac1414df6 · inbound

D$^3$-Subsidy: Online and Sequential Driver Subsidy Decision-Making for Large-Scale Ride-Hailing Market cites this paper.

D$^3$-Subsidy: Online and Sequential Driver Subsidy Decision-Making for Large-Scale Ride-Hailing Market Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-07-01T15:05:47.275755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 122435b3-554b-42c1-bb11-8cc966680c11 · inbound

HITL-D: Human In The Loop Diffusion Assisted Shared Control cites this paper.

HITL-D: Human In The Loop Diffusion Assisted Shared Control Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-21T03:23:55.704702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a7380df4-2c16-4cf9-8f26-57ae3abc5f89 · 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 Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-06-30T11:44:37.882131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2bf5a61c-7a71-4832-9024-17d25bcc25d7 · inbound

From Denoising to Decision Making: A Survey on Diffusion Model-Enabled Deep Reinforcement Learning for Wireless Networks cites this paper.

From Denoising to Decision Making: A Survey on Diffusion Model-Enabled Deep Reinforcement Learning for Wireless Networks Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-06-29T20:53:58.363799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4bfeff70-e09a-4198-909b-9f77015bd300 · inbound

Adversarial Dual On-Policy Distillation from Expressive Teacher cites this paper.

Adversarial Dual On-Policy Distillation from Expressive Teacher Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T19:03:51.521000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b015ed9f-d634-4d83-82fd-2e117255cb30 · inbound

SPAR: Support-Preserving Action Rectification cites this paper.

SPAR: Support-Preserving Action Rectification Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-06-29T14:43:30.987653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 84ca06a8-0ab3-425f-ba8a-52730bbd4995 · inbound

GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language Models cites this paper.

GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language Models Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:53:16.322817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 539834d2-a9e0-4467-8101-85ee296ee714 · inbound

Lagrangian Perturbation Diffusion Steering: Latent Reinforcement Learning for Generative Policies cites this paper.

Lagrangian Perturbation Diffusion Steering: Latent Reinforcement Learning for Generative Policies Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-06-28T17:22:24.656018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4fb2eb9f-ba9c-4159-8f73-6a8efce2a0be · inbound

Training-Free Imitation Learning with Closed-Form Diffusion Policies cites this paper.

Training-Free Imitation Learning with Closed-Form Diffusion Policies Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-06-28T17:12:24.890387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a357415b-276f-4873-8deb-ec925f3ec93c · inbound

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

Counterfactual Transport Flows for Offline Conservative Trajectory Refinement Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 80

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T23:57:29.179837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b69f719c-2681-4cba-b14f-b0a96caa8187 · 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 Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-03T04:27:36.359425Z

Source-reported events for the cited work

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Observation 06216ae3-c849-4049-811c-d242e4cb7db7 · inbound

MODIP: Efficient Model-Based Optimization for Diffusion Policies cites this paper.

MODIP: Efficient Model-Based Optimization for Diffusion Policies Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 22

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T04:37:37.563763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a93d95b9-b1af-49c1-8b5c-4358081e92c1 · inbound

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

Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-07-03T04:17:36.916636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bffd78e1-b49c-4867-a2fc-b576d1c736b3 · inbound

Energy-based Compositional Diffusion Planning cites this paper.

Energy-based Compositional Diffusion Planning Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-07-04T06:49:37.746641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 076ee41d-ae43-40d9-b6af-c9cecbb6361b · inbound

RS-Diffuser: Risk-Sensitive Diffusion Planning with Distributional Value Guidance cites this paper.

RS-Diffuser: Risk-Sensitive Diffusion Planning with Distributional Value Guidance Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T18:23:51.477914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7bc40a06-f596-4293-abb5-ed9fa45284d0 · inbound

Guided Action Flow: Q-Guided Inference for Flow-Matching Vision-Language-Action Policies cites this paper.

Guided Action Flow: Q-Guided Inference for Flow-Matching Vision-Language-Action Policies Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-03T11:58:05.723569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d7d23c51-e4e5-4295-8d10-f1a6f1327b57 · inbound

Guided Action Flow: Q-Guided Inference for Flow-Matching Vision-Language-Action Policies cites this paper.

Guided Action Flow: Q-Guided Inference for Flow-Matching Vision-Language-Action Policies Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-12T08:26:59.428524Z

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Observation 81ce14fc-6107-400f-9081-925c4e3fc569 · inbound

A Single Diffusion-Policy Controller for Multi-Task Block Pushing with Zero-Shot Sim-to-Real Transfer cites this paper.

A Single Diffusion-Policy Controller for Multi-Task Block Pushing with Zero-Shot Sim-to-Real Transfer Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T08:30:10.584105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f34c692-fc82-4357-aaa5-fc1f2bec7ba4 · inbound

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

Reinforcement Learning: From Algorithms To Foundation Models Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 146

Resolution: unresolved; no resolver link, observed 2026-08-01T17:45:11.182095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2aa95f3-ad94-40d2-b9c8-9cf54e7e21ad · inbound

Good Rankers, Bad Objectives: Bilinear Contrastive Critics under Expressive Policy Search cites this paper.

Good Rankers, Bad Objectives: Bilinear Contrastive Critics under Expressive Policy Search Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-31T01:24:21.575169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65176c4b-f0e2-447f-8ebf-363b34b5ffdf · inbound

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

Deep Reinforcement Learning: From First Principles to Reasoning Models Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:04.653728Z

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Unavailable: canonical work link unavailable.

Observation 758f9309-a314-4a46-80c2-a2c53f2a5bbb · inbound

ReBRAC-v2: The Return of the King cites this paper.

ReBRAC-v2: The Return of the King Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T00:32:46.484739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1af34ed-08b7-4250-b4f4-ba4dc3411141 · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 265

Resolution: unresolved; no resolver link, observed 2026-08-04T19:45:35.322822Z

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Unavailable: canonical work link unavailable.