Paper Citation Record · LEDGER

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 4 inbound Pith citation observations for arXiv:2502.04778.

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

pith.paper-citation-record.v1
2502.04778 v2

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:39:25.695375Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:20:37.619351Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T07:35:29.370333Z

Reference resolution

56 of 56 outbound references displayed

verified exact1
verified fuzzy35
unresolved20
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc0f9384-b69d-47e5-8df9-e3e8431593a4 · outbound

This paper cites write newline.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning write newline

Reference 1

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Observation b84becd1-6a52-45f9-9b6b-daf926ec93b4 · outbound

This paper cites B., Jaakkola, T.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning B., Jaakkola, T

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:26.344765Z

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Observation dfa42f6d-da44-4b8a-bfdd-2a3b22071f04 · outbound

This paper cites J., Mittal, S., Lemos, P., Liu, C., Sendera, M., Ravanbakhsh, S., Gidel, G., Bengio, Y., Malkin, N., and Tong, A.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning J., Mittal, S., Lemos, P., Liu, C., Sendera, M., Ravanbakhsh, S., Gidel, G., Bengio, Y., Malkin, N., and Tong, A

Reference 3

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Observation 6c35250c-f24c-4a6b-861f-18c5d50c6d09 · outbound

This paper cites Diffusion for World Modeling: Visual Details Matter in Atari.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Diffusion for World Modeling: Visual Details Matter in Atari

Reference 4

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This paper cites an unresolved cited work.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Unresolved cited work

Reference 5

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Observation 1d150672-ea73-487e-b447-673d493ea98c · outbound

This paper cites Pessimistic bootstrapping for uncertainty-driven offline reinforcement learning.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Pessimistic bootstrapping for uncertainty-driven offline reinforcement learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:26.311997Z

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Observation fc0daf05-356a-41eb-bb0a-c85c74093eef · outbound

This paper cites OpenAI Gym.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning OpenAI Gym

Reference 7

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Observation ea94de36-52cd-4a73-bfc4-c66da9fa4931 · outbound

This paper cites Offline reinforcement learning via high-fidelity generative behavior modeling.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Offline reinforcement learning via high-fidelity generative behavior modeling

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:26.300746Z

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Observation a6a68adb-37a2-41b2-9119-71d28b172b20 · outbound

This paper cites Score regularized policy optimization through diffusion behavior.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Score regularized policy optimization through diffusion behavior

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:26.289147Z

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Observation 57e40425-0256-4553-a9b5-24acb4847201 · outbound

This paper cites Decision transformer: Reinforcement learning via sequence modeling.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Decision transformer: Reinforcement learning via sequence modeling

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:26.277563Z

Source-reported events for the cited work

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Observation 8cfc379a-7beb-4dde-b478-966e54f3f4e9 · outbound

This paper cites Diffusion Policies creating a Trust Region for Offline Reinforcement Learning.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Diffusion Policies creating a Trust Region for Offline Reinforcement Learning

Reference 11

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Observation 297a5d88-0833-4fa6-9b98-c16ed13bda4e · outbound

This paper cites Soft Actor-Critic for Discrete Action Settings.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Soft Actor-Critic for Discrete Action Settings

Reference 12

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Observation c8cfc308-5b73-4999-aa3f-40b86b9361f0 · outbound

This paper cites Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning

Reference 13

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Observation a9fcfcbd-3dc5-46d7-b40b-d39d6be4305c · outbound

This paper cites MINDE : Mutual information neural diffusion estimation.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning MINDE : Mutual information neural diffusion estimation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:26.266493Z

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Observation 3b526906-b1df-4430-b892-c4c171b50159 · outbound

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

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

Reference 15

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Observation 3ea32e31-4370-48a4-ad60-17dc9e5f4b71 · outbound

This paper cites and Gu, S.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning and Gu, S

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:26.255012Z

Source-reported events for the cited work

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Observation 893e10de-8379-4a77-932b-41609f15d7ff · outbound

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

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Off-policy deep reinforcement learning without exploration

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:26.243172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a131e68b-d2ef-4822-a1c2-b4092ef812dd · outbound

This paper cites ACT: E mpowering decision transformer with dynamic programming via advantage conditioning.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning ACT: E mpowering decision transformer with dynamic programming via advantage conditioning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:26.232056Z

Source-reported events for the cited work

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Observation 8933c0cb-1265-4429-b3d7-9d991727cf07 · outbound

This paper cites Extreme Q -learning: Maxent RL without entropy.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Extreme Q -learning: Maxent RL without entropy

Reference 19

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Observation 87d3c4e6-a48c-449e-b1d5-e2e91eac6880 · outbound

This paper cites Reinforcement learning with deep energy-based policies.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Reinforcement learning with deep energy-based policies

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:26.208420Z

Source-reported events for the cited work

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Observation 9b6aa253-7da0-41f9-9064-cd530f39284c · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:26.196891Z

Source-reported events for the cited work

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Observation 0476a32b-af66-463f-af83-439ae49335d6 · outbound

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

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies

Reference 22

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Observation 6f0af461-0752-476d-bdfa-b509f9389e1e · outbound

This paper cites Denoising diffusion probabilistic models.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Denoising diffusion probabilistic models

Reference 23

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Observation d1f7e17c-4996-46bc-9512-482ef435367c · outbound

This paper cites B., and Levine, S.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning B., and Levine, S

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:26.177193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4d1e9c04-eff5-42b4-a217-0cf0ab6ceb2f · outbound

This paper cites Policy rehearsing: Training generalizable policies for reinforcement learning.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Policy rehearsing: Training generalizable policies for reinforcement learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:26.165466Z

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Observation 781b595f-004c-4a9d-bc45-b95e4325d212 · outbound

This paper cites Efficient diffusion policies for offline reinforcement learning.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Efficient diffusion policies for offline reinforcement learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:26.153787Z

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Observation 71e36e3d-fac0-4ae3-9b70-1028d8767e87 · outbound

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Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Unresolved cited work

Reference 27

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Source-reported events for the cited work

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Observation 53b6fac2-9a12-4da2-84f8-57e5944d8ce5 · outbound

This paper cites Offline reinforcement learning with implicit Q -learning.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Offline reinforcement learning with implicit Q -learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:26.136104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e1cc3d49-6392-4708-a46f-affeae9f22d7 · outbound

This paper cites Stabilizing off-policy Q -learning via bootstrapping error reduction.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Stabilizing off-policy Q -learning via bootstrapping error reduction

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:26.124689Z

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Observation c641b95e-c5ad-4fd7-9544-3517bf70f663 · outbound

This paper cites Discor: Corrective feedback in reinforcement learning via distribution correction.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Discor: Corrective feedback in reinforcement learning via distribution correction

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:26.113331Z

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Observation 51ce740c-7409-4a4b-8255-9c6e1161580a · outbound

This paper cites Conservative Q -learning for offline reinforcement learning.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Conservative Q -learning for offline reinforcement learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:26.101697Z

Source-reported events for the cited work

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Observation c7815ea6-a682-41b0-b5c0-036d49b26259 · outbound

This paper cites A workflow for offline model-free robotic reinforcement learning.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning A workflow for offline model-free robotic reinforcement learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:26.091194Z

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Observation 1cde2db5-16d8-4f35-a57f-9e96c3e2716b · outbound

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

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 33

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Observation 4b886aef-d99a-4b01-a54b-7142a95dcdad · outbound

This paper cites Contrastive energy prediction for exact energy-guided diffusion sampling in offline reinforcement learning.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Contrastive energy prediction for exact energy-guided diffusion sampling in offline reinforcement learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:26.080529Z

Source-reported events for the cited work

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Observation caacb572-96ff-4a65-8596-8579cef6728e · outbound

This paper cites Reward-consistent dynamics models are strongly generalizable for offline reinforcement learning.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Reward-consistent dynamics models are strongly generalizable for offline reinforcement learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:26.068770Z

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Observation 8e866662-5be8-4814-b177-7f8278e0133f · outbound

This paper cites Diffusion-dice: In-sample diffusion guidance for offline reinforcement learning.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Diffusion-dice: In-sample diffusion guidance for offline reinforcement learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:26.056675Z

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Observation 624a65ae-f6a5-4d00-8c00-0d3b0a80d40c · outbound

This paper cites Transformers are sample-efficient world models.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Transformers are sample-efficient world models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:26.045165Z

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Observation bae1b81e-f0e5-4c4f-bcd4-adb9db0a3eed · outbound

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

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

Reference 38

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Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Stochastic differential equations: A n introduction with applications

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:26.033192Z

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Observation 54f3f038-5cba-43ad-a08e-7609e51a2ef6 · outbound

This paper cites L., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., Schulman, J., Hilton, J., Kelton, F., Miller, L., Simens, M., Askell, A., Welinder, P., Christiano, P.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning L., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., Schulman, J., Hilton, J., Kelton, F., Miller, L., Simens, M., Askell, A., Welinder, P., Christiano, P

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:26.021798Z

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Observation db07950d-e13d-4d47-ac38-983814958828 · outbound

This paper cites Policy regularization with dataset constraint for offline reinforcement learning.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Policy regularization with dataset constraint for offline reinforcement learning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:26.009687Z

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Observation 93daa91e-f9c6-478f-8296-ae05603a3a57 · outbound

This paper cites Diffusion Policy Policy Optimization.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Diffusion Policy Policy Optimization

Reference 42

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Observation 0513c8f8-3910-405b-ac1f-b1a42b461c70 · outbound

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Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-08T21:39:25.643121Z

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Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Diffusion Spectral Representation for Reinforcement Learning

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-08T21:39:25.781735Z

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Observation e12cb928-d601-47a0-8011-eef6aedd7644 · outbound

This paper cites Denoising Diffusion Implicit Models.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Denoising Diffusion Implicit Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-08T21:39:25.651910Z

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This paper cites P., Kumar, A., Ermon, S., and Poole, B.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning P., Kumar, A., Ermon, S., and Poole, B

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:25.997912Z

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Observation fc90ed53-9798-4f62-a359-115ab0b45735 · outbound

This paper cites Model-bellman inconsistency for model-based offline reinforcement learning.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Model-bellman inconsistency for model-based offline reinforcement learning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:25.985090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0deb3fa4-a765-45e7-879c-5bb656c1ee06 · outbound

This paper cites Revisiting the minimalist approach to offline reinforcement learning.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Revisiting the minimalist approach to offline reinforcement learning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:25.972769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6a7b312c-2136-4f96-ac9f-92c5a6fa183b · outbound

This paper cites u l c ehre, C ., Wang, Z., Pfaff, T., Wu, Y., Ring, R., Yogatama, D., W \.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning u l c ehre, C ., Wang, Z., Pfaff, T., Wu, Y., Ring, R., Yogatama, D., W \

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:25.960325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f74a3fc4-8742-46bf-a6c5-5fb2c9610789 · outbound

This paper cites Diffusion Actor-Critic with Entropy Regulator.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Diffusion Actor-Critic with Entropy Regulator

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-08T21:39:25.671887Z

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This paper cites J., and Zhou, M.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning J., and Zhou, M

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:25.948582Z

Source-reported events for the cited work

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Observation be9d06cb-4648-4afd-a9cc-bb7631d24d96 · outbound

This paper cites Behavior Regularized Offline Reinforcement Learning.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Behavior Regularized Offline Reinforcement Learning

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-08T21:39:25.679507Z

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Observation b116c067-0d33-46ad-9624-7f6e1931f385 · outbound

This paper cites an unresolved cited work.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-08T21:39:25.936656Z

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Observation e7368061-06e8-4275-b81a-ebababd2b474 · outbound

This paper cites Y., Levine, S., Finn, C., and Ma, T.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Y., Levine, S., Finn, C., and Ma, T

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:25.925852Z

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Observation ac17730c-5f5d-4ade-a23c-c3ba71707d40 · outbound

This paper cites o lund, J., Sch \.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning o lund, J., Sch \

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:39:25.914315Z

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Observation ca9867f4-94c7-4d95-ac1a-887376a72d61 · outbound

This paper cites Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning.

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-08T21:39:25.695375Z

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Pith citing papers

Observation 2dff5418-ebe0-492d-be11-b3819b4cd23c · inbound

Decision Flow Policy Optimization cites this paper.

Decision Flow Policy Optimization Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:37.619351Z

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Observation 64bb61ce-4e78-461e-abf5-ab87c39ae074 · inbound

D2 Actor Critic: Diffusion Actor Meets Distributional Critic cites this paper.

D2 Actor Critic: Diffusion Actor Meets Distributional Critic Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:35:29.373696Z

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Observation 0223a517-9a63-446c-864c-802982f50c09 · 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 Diffusion Policy Optimization for Offline Reinforcement Learning

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:56:00.695725Z

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Observation aeb489c3-3cea-402c-9aba-b3e92b38eb51 · inbound

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

ReBRAC-v2: The Return of the King Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning

Reference 78

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