Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation | Paper Citation Record

Observation 5613138e-a2b7-4f09-b075-fa23f26b74ca · outbound

This paper cites Deep rein- forcement learning for dynamic treatment regimes on medical registry data.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Deep rein- forcement learning for dynamic treatment regimes on medical registry data

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:37.243880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3ff031b4-4c2d-4c0a-9c54-4fa6922eb086 · outbound

This paper cites Deep reinforcement learning for autonomous driving: A survey.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Deep reinforcement learning for autonomous driving: A survey

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T20:17:36.252742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4baa2b41-6a6a-4dce-8b3a-f3a1fef53fbd · outbound

This paper cites Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T20:17:36.257541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa5f8d35-7bd6-4766-924c-660ddfb74b70 · outbound

This paper cites Sim-to-real interactive recommendation via off-dynamics reinforcement learning.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Sim-to-real interactive recommendation via off-dynamics reinforcement learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:37.222949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dd32523b-2d57-48a7-a4f0-b2c20d772568 · outbound

This paper cites DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T20:17:36.266052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a913f97-f674-4ba4-9dce-f911e3608368 · outbound

This paper cites Unsupervised domain adaptation with dynamics-aware rewards in reinforcement learning.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Unsupervised domain adaptation with dynamics-aware rewards in reinforcement learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:37.211161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7499ddd5-1a1b-4f04-9a6f-ce7f3de53280 · outbound

This paper cites Generative adversarial imitation learning.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Generative adversarial imitation learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T20:17:36.273364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd30c84c-8a34-4fd0-8d82-19e9a3177f5a · outbound

This paper cites Generative Adversarial Imitation from Observation.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Generative Adversarial Imitation from Observation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T20:17:36.277182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67525ab4-c36a-43f7-ba45-e7263eda8d37 · outbound

This paper cites Offline imitation learning with a misspecified simulator.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Offline imitation learning with a misspecified simulator

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:37.192290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5fb528e4-6cfa-4290-a0b0-cef63400ccd0 · outbound

This paper cites An imitation from observation approach to transfer learning with dynamics mismatch.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation An imitation from observation approach to transfer learning with dynamics mismatch

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:37.179110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2673544c-0942-4e83-b05d-3a617f6e9d54 · outbound

This paper cites State-only Imitation with Transition Dynamics Mismatch.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation State-only Imitation with Transition Dynamics Mismatch

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T20:17:36.288161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81241666-5130-4ff8-9e30-5624202aeeea · outbound

This paper cites Doubly Robust Policy Evaluation and Learning.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Doubly Robust Policy Evaluation and Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T20:17:36.292286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ff84bb0-e52e-42df-8718-052153b1fb00 · outbound

This paper cites Doubly robust off-policy value evaluation for reinforcement learning.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Doubly robust off-policy value evaluation for reinforcement learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:37.164640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3fa4eb3f-6143-4c6c-b60b-5c3ca1ec149c · outbound

This paper cites Doubly robust off-policy evaluation with shrinkage.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Doubly robust off-policy evaluation with shrinkage

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:37.153092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 93013354-fb64-4f17-a28a-0693ab6bfc36 · outbound

This paper cites Doubly robust off-policy actor-critic: Convergence and optimality.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Doubly robust off-policy actor-critic: Convergence and optimality

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:37.139372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a67cd4fa-e58b-40a3-a2ee-0b12438c2009 · outbound

This paper cites Doubly robust distribu- tionally robust off-policy evaluation and learning.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Doubly robust distribu- tionally robust off-policy evaluation and learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:37.127030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 838e9822-b528-4ded-88ef-3632000b9f7e · outbound

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

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T20:17:36.313407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b521f84e-07f0-4a70-bd00-a9afb35559db · outbound

This paper cites On the off-dynamics approach to reinforcement learning.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation On the off-dynamics approach to reinforcement learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:37.106346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 983a1df7-5f2d-4b03-b13b-48f96b33386d · outbound

This paper cites When to trust your model: Model-based policy optimization.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation When to trust your model: Model-based policy optimization

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:37.093026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2322f4d4-362a-4411-b663-48c7abd51685 · outbound

This paper cites Mutual alignment transfer learning.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Mutual alignment transfer learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:37.080478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 859041a9-8267-4a5a-b3cc-e5099afa6451 · outbound

This paper cites Domain Adaptation for Reinforcement Learning on the Atari.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Domain Adaptation for Reinforcement Learning on the Atari

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-12T20:17:36.578965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c9e7c01a-2133-406d-a598-39bc065876a7 · outbound

This paper cites Domain adaptation in reinforcement learning via latent unified state representation.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Domain adaptation in reinforcement learning via latent unified state representation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:37.066843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8df7979f-e2dd-4bd4-bc39-b81e5579f731 · outbound

This paper cites Transfer learning in deep reinforce- ment learning: A survey.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Transfer learning in deep reinforce- ment learning: A survey

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:37.055530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 40b228c3-039a-44d7-b42e-dd51a0522d74 · outbound

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

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T20:17:36.339277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a0e4323-7e16-45d5-a78e-8ab3d648c68b · outbound

This paper cites State regularized policy optimization on data with dynamics shift.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation State regularized policy optimization on data with dynamics shift

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:37.043346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3cc6b026-d4f9-4812-b364-efe5a0e14d5b · outbound

This paper cites Generative adversarial nets.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Generative adversarial nets

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T20:17:36.347569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68384332-9525-40be-9946-9bd08d26d87c · outbound

This paper cites Distributionally robust off-dynamics reinforcement learning: Prov- able efficiency with linear function approximation.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Distributionally robust off-dynamics reinforcement learning: Prov- able efficiency with linear function approximation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:37.021172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 41eaee32-c7f3-45e9-b0c1-aaa0782819e2 · outbound

This paper cites Learning Robust Rewards with Adversarial Inverse Reinforcement Learning.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Learning Robust Rewards with Adversarial Inverse Reinforcement Learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T20:17:36.355560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a118e89a-86dd-401d-bf96-580d44b86363 · outbound

This paper cites Imitation learning via kernel mean embedding.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Imitation learning via kernel mean embedding

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:37.007973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8eb1bf54-3c9e-42ae-a0e2-dbb200a85835 · outbound

This paper cites Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T20:17:36.364226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f4a63f3-1e08-4d69-9b0b-6e5b06b5f65b · outbound

This paper cites Task transfer by preference-based cost learning.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Task transfer by preference-based cost learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:36.994200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c26186d0-e667-49f6-8204-4dc139411b68 · outbound

This paper cites Imitation Learning from Video by Leveraging Proprioception.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Imitation Learning from Video by Leveraging Proprioception

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-12T20:17:36.524377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 16e2bad1-a861-4f73-a727-725b0cec41eb · outbound

This paper cites Imitation from observation: Learning to imitate behaviors from raw video via context translation.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Imitation from observation: Learning to imitate behaviors from raw video via context translation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:36.981041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e3e99ab7-cf1f-401e-ade8-3e44214fb1a7 · outbound

This paper cites Behavioral Cloning from Observation.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Behavioral Cloning from Observation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T20:17:36.379282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd31525b-a218-4e47-b5c5-196c1eb8eb77 · outbound

This paper cites Recent Advances in Imitation Learning from Observation.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Recent Advances in Imitation Learning from Observation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T20:17:36.383384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b555e714-d3e7-4ea0-92ec-8fa8f3e60266 · outbound

This paper cites Domain adaptive imitation learning.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Domain adaptive imitation learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T20:17:36.387268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99553806-6256-4bc9-89a8-cd82d7a4e646 · outbound

This paper cites Generalization and equilibrium in generative adversarial nets (gans).

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Generalization and equilibrium in generative adversarial nets (gans)

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T20:17:36.390932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 961c3012-d6c7-4f41-ab91-36a32d94b33b · outbound

This paper cites vf+MOWCXlXkD7CB/Zj9tqm3hyT0=.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation vf+MOWCXlXkD7CB/Zj9tqm3hyT0=

Reference 38

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T20:17:36.954194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d54b067f-39d8-4ab1-bdba-831510ef0bcf · outbound

This paper cites And in the introduc- tion section, we have a contribution list.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation And in the introduc- tion section, we have a contribution list

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:36.941654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a1a4d7ba-c253-4094-ab40-5eb181ccc063 · outbound

This paper cites Limitations.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Limitations

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:36.930341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0155ba99-1d8a-4638-aa00-a973529a342e · outbound

This paper cites We present our theoretical result in Section 4 and the proof is in Appendix B.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation We present our theoretical result in Section 4 and the proof is in Appendix B

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:36.919164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b0cdfb74-91ad-4fcd-9254-ad5b9abc7f1f · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Guidelines: • The answer NA means that the paper does not include experiments

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:36.907775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 33486d2d-81cc-46f8-985c-89e0480a87b9 · outbound

This paper cites Guidelines: • The answer NA means that paper does not include experiments requiring code.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Guidelines: • The answer NA means that paper does not include experiments requiring code

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:36.895880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7601504f-19b7-48d6-abc1-8400b07369ed · outbound

This paper cites We also describe the hyperparameter tuning in the Appendix D.4.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation We also describe the hyperparameter tuning in the Appendix D.4

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:36.884247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e3f0739b-d912-422c-815e-64f036c38ccd · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Guidelines: • The answer NA means that the paper does not include experiments

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:36.872996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6c8fae34-bc3a-4d87-8a50-d06a4c9b1a9b · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Guidelines: • The answer NA means that the paper does not include experiments

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:36.861005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 03c7ca5f-168a-4789-8b6d-8373cf47c48e · outbound

This paper cites Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:36.848492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9398912b-84f5-473b-8888-9b4764310394 · outbound

This paper cites Guidelines: • The answer NA means that there is no societal impact of the work performed.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Guidelines: • The answer NA means that there is no societal impact of the work performed

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:36.836178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9b412b4b-d424-486a-b262-bf11491823fe · outbound

This paper cites Guidelines: • The answer NA means that the paper poses no such risks.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Guidelines: • The answer NA means that the paper poses no such risks

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:36.822673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation eccf6cce-6e09-4549-8514-24227f4aff22 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not use existing assets.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Guidelines: • The answer NA means that the paper does not use existing assets

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:36.810650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation aadab1a8-e210-4843-bc9d-b1dcb1ae1500 · outbound

This paper cites Also, details about the implementation are included in the paper.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Also, details about the implementation are included in the paper

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:36.798768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 44774b8e-2c5d-4bd7-b370-8cea819e8347 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:36.786580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c3afa81f-16bb-4e33-b2b4-90db56f1ed3d · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:36.773313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers