Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations | Paper Citation Record

Observation 19c6a3e4-0a5a-4d8b-9498-7cad347743d7 · outbound

This paper cites Tucker, and Justin Fu.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Tucker, and Justin Fu

Reference 1

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Observation 74da0bab-40c5-45b8-81f2-c3560e98e69b · outbound

This paper cites Offline reinforcement learning for safer blood glucose control in people with type 1 diabetes.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Offline reinforcement learning for safer blood glucose control in people with type 1 diabetes

Reference 2

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This paper cites Deepthermal: Combustion optimization for thermal power generating units using offline reinforcement learning.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Deepthermal: Combustion optimization for thermal power generating units using offline reinforcement learning

Reference 3

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This paper cites Benchmarking offline reinforcement learning on real-robot hardware.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Benchmarking offline reinforcement learning on real-robot hardware

Reference 4

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This paper cites Corruption-robust offline reinforcement learning.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Corruption-robust offline reinforcement learning

Reference 5

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This paper cites Corruption-robust offline reinforcement learning with general function approximation.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Corruption-robust offline reinforcement learning with general function approximation

Reference 6

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This paper cites Towards robust offline reinforcement learning under diverse data corruption.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Towards robust offline reinforcement learning under diverse data corruption

Reference 7

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Observation 14917937-ed2d-4a07-b47f-03dc6666e4d6 · outbound

This paper cites Finite-sample regret bound for distributionally robust offline tabular reinforcement learning.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Finite-sample regret bound for distributionally robust offline tabular reinforcement learning

Reference 8

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Observation f352817e-3030-44eb-9c6c-82f8e7822b8b · outbound

This paper cites Robust reinforcement learning using offline data.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Robust reinforcement learning using offline data

Reference 9

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This paper cites Distributionally robust model-based offline reinforcement learning with near-optimal sample complexity.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Distributionally robust model-based offline reinforcement learning with near-optimal sample complexity

Reference 10

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This paper cites Double pessimism is provably efficient for distributionally robust offline reinforcement learning: Generic algorithm and robust partial coverage.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Double pessimism is provably efficient for distributionally robust offline reinforcement learning: Generic algorithm and robust partial coverage

Reference 11

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Observation b59a69a1-9e51-4052-a2fa-89ff236caf99 · outbound

This paper cites RORL: Robust offline reinforcement learning via conservative smoothing.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations RORL: Robust offline reinforcement learning via conservative smoothing

Reference 12

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Observation 0bdb9729-6a37-43e1-b6c6-d3901f6a77b1 · outbound

This paper cites MICRO: Model-based offline reinforcement learning with a conservative bellman operator.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations MICRO: Model-based offline reinforcement learning with a conservative bellman operator

Reference 13

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This paper cites Luu, Tri Ton, and Chang D.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Luu, Tri Ton, and Chang D

Reference 14

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This paper cites Baffle: Hiding Backdoors in Offline Reinforcement Learning Datasets.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Baffle: Hiding Backdoors in Offline Reinforcement Learning Datasets

Reference 15

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This paper cites Robust deep reinforcement learning against adversarial perturbations on state observations.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Robust deep reinforcement learning against adversarial perturbations on state observations

Reference 16

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This paper cites Who is the strongest enemy? towards optimal and efficient evasion attacks in deep RL.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Who is the strongest enemy? towards optimal and efficient evasion attacks in deep RL

Reference 17

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Observation e8fa7d60-a467-41d0-901b-f50ad8c357f2 · outbound

This paper cites Robust adversarial reinforcement learning.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Robust adversarial reinforcement learning

Reference 18

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This paper cites Adversarial joint attacks on legged robots.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Adversarial joint attacks on legged robots

Reference 19

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This paper cites Robust deep reinforcement learning with adaptive adversarial perturbations in action space, 2024.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Robust deep reinforcement learning with adaptive adversarial perturbations in action space, 2024

Reference 20

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This paper cites Domain randomiza- tion for transferring deep neural networks from simulation to the real world.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Domain randomiza- tion for transferring deep neural networks from simulation to the real world

Reference 21

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This paper cites Closing the sim-to-real loop: Adapting simulation randomization with real world experience.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Closing the sim-to-real loop: Adapting simulation randomization with real world experience

Reference 22

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This paper cites Cyclic policy distillation: Sample-efficient sim-to-real reinforcement learning with domain randomization.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Cyclic policy distillation: Sample-efficient sim-to-real reinforcement learning with domain randomization

Reference 23

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This paper cites Action robust reinforcement learning and applications in continuous control.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Action robust reinforcement learning and applications in continuous control

Reference 24

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This paper cites Robust policy gradient against strong data corruption.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Robust policy gradient against strong data corruption

Reference 25

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This paper cites Curriculum adversarial training for robust reinforcement learning.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Curriculum adversarial training for robust reinforcement learning

Reference 26

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This paper cites Toward evaluating robustness of reinforcement learning with adversarial policy.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Toward evaluating robustness of reinforcement learning with adversarial policy

Reference 27

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Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Unresolved cited work

Reference 28

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

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Off-policy deep reinforcement learning without exploration

Reference 29

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This paper cites A minimalist approach to offline reinforcement learning.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations A minimalist approach to offline reinforcement learning

Reference 30

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

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Offline reinforcement learning with implicit q-learning

Reference 31

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

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Mujoco: A physics engine for model-based control

Reference 32

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Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Conservative q-learning for offline reinforcement learning

Reference 33

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This paper cites Addressing function approximation error in actor-critic methods.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Addressing function approximation error in actor-critic methods

Reference 34

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Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Robust dynamic programming

Reference 35

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Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Fast Bellman updates for robust MDPs

Reference 36

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This paper cites Provable sim-to-real transfer in continuous domain with partial observations.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Provable sim-to-real transfer in continuous domain with partial observations

Reference 37

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This paper cites Distributionally robust model-based reinforcement learning with large state spaces.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Distributionally robust model-based reinforcement learning with large state spaces

Reference 38

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This paper cites Model-free robust reinforcement learning via polynomial chaos.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Model-free robust reinforcement learning via polynomial chaos

Reference 39

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This paper cites Bridging the gap between offline and online reinforcement learning evaluation methodologies.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Bridging the gap between offline and online reinforcement learning evaluation methodologies

Reference 40

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This paper cites The generalization gap in offline reinforcement learning.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations The generalization gap in offline reinforcement learning

Reference 41

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This paper cites Comparison of online and offline deep reinforcement learning with model predictive control for thermal energy management.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Comparison of online and offline deep reinforcement learning with model predictive control for thermal energy management

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:30.257937Z

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This paper cites Understanding the effects of dataset characteristics on offline reinforcement learning.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Understanding the effects of dataset characteristics on offline reinforcement learning

Reference 43

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This paper cites Is value learning really the main bottleneck in offline rl? In the 38th Conference on Neural Information Processing Systems (NeurIPS 2024), 2024.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Is value learning really the main bottleneck in offline rl? In the 38th Conference on Neural Information Processing Systems (NeurIPS 2024), 2024

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:30.233404Z

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This paper cites d3rlpy: An offline deep reinforcement learning library.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations d3rlpy: An offline deep reinforcement learning library

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:30.196654Z

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This paper cites Proximal policy optimization algorithms, 2017.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Proximal policy optimization algorithms, 2017

Reference 46

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

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:30.154416Z

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Observation f7673800-fa17-43e2-83c1-35197a6e4717 · outbound

This paper cites Karen Liu, and Perttu Hämäläinen.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Karen Liu, and Perttu Hämäläinen

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:30.122012Z

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Observation 66e9965a-7fb0-42c4-860e-89450678c08b · outbound

This paper cites D4RL: Datasets for deep data-driven reinforcement learning, 2020.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations D4RL: Datasets for deep data-driven reinforcement learning, 2020

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:30.105361Z

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This paper cites Openai gym, 2016.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Openai gym, 2016

Reference 50

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This paper cites Offline reinforcement learning with fisher divergence critic regularization.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Offline reinforcement learning with fisher divergence critic regularization

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:30.075512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4816decc-3997-4ccd-ae6c-c2d625c16d47 · outbound

This paper cites Ng, Daishi Harada, and Stuart J.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Ng, Daishi Harada, and Stuart J

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:29.924746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1da43636-b1ba-4d63-98ad-d6363c791739 · outbound

This paper cites Roler: Effective reward shaping in offline reinforcement learning for recommender systems.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Roler: Effective reward shaping in offline reinforcement learning for recommender systems

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:29.819262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6f6fc7b4-311a-4afa-9d5d-05c6dbdf9e9a · outbound

This paper cites Learning goal-conditioned policies offline with self-supervised reward shaping.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Learning goal-conditioned policies offline with self-supervised reward shaping

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:29.769554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 150cc25c-27f8-4ec0-acb2-09b2194f2203 · outbound

This paper cites Hindsight experience replay.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Hindsight experience replay

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:29.757716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6afca995-f3b1-488c-a4a9-55bf486a1f06 · outbound

This paper cites The challenges of exploration for offline reinforcement learning, 2022.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations The challenges of exploration for offline reinforcement learning, 2022

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:29.745481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d0f0bb37-d4e2-411a-b6f1-d2188c959f8a · outbound

This paper cites Extending robust adversarial reinforcement learning considering adaptation and diversity.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Extending robust adversarial reinforcement learning considering adaptation and diversity

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:29.733937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7ff9871c-7bda-46b7-b253-d9fe40536f51 · outbound

This paper cites Robust adaptive ensemble adversary reinforcement learning.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Robust adaptive ensemble adversary reinforcement learning

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:29.721631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e56f2639-2df7-4842-afc6-f16dee9b0372 · outbound

This paper cites Mohiuddin, Igor Boiko, and Yahya Zweiri.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Mohiuddin, Igor Boiko, and Yahya Zweiri

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:29.710351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 482f8332-6756-4286-8052-2118dd8282a6 · outbound

This paper cites Uncertainty-based offline reinforcement learning with diversified q-ensemble.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Uncertainty-based offline reinforcement learning with diversified q-ensemble

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:29.698764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 48339862-21ad-4edf-98e4-f4a9d89e414a · outbound

This paper cites Q-ensemble for offline RL: Don’t scale the ensemble, scale the batch size.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Q-ensemble for offline RL: Don’t scale the ensemble, scale the batch size

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:29.642006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9d7093a9-b887-49db-85a1-e93188245b35 · outbound

This paper cites Sale-based offline reinforcement learning with ensemble q-networks, 2025.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Sale-based offline reinforcement learning with ensemble q-networks, 2025

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:29.594418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7d6df09d-7596-4464-ad48-17db1afd27e0 · outbound

This paper cites Awac: Accelerating online reinforcement learning with offline datasets, 2021.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Awac: Accelerating online reinforcement learning with offline datasets, 2021

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:29.468738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7ef59fcd-83b9-4557-ad0d-fc1b0edfa054 · outbound

This paper cites Offline-to-online reinforcement learning via balanced replay and pessimistic q-ensemble.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Offline-to-online reinforcement learning via balanced replay and pessimistic q-ensemble

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:29.347755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e7c07c71-0194-46ed-bc0a-065a032fba7c · outbound

This paper cites Adaptive policy learning for offline-to-online reinforcement learning.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Adaptive policy learning for offline-to-online reinforcement learning

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:29.247257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9b8297f5-8bff-4328-89fa-cddd1a92f039 · outbound

This paper cites Yu, and Yi Chang.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Yu, and Yi Chang

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:29.235879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bf819766-84f5-4734-a99a-6dacd53af160 · outbound

This paper cites Kingma and Jimmy Ba.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Kingma and Jimmy Ba

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:29.223229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6c1e40c8-ea08-4854-8772-4bb725ee1661 · outbound

This paper cites UMAP: Uniform manifold approximation and projection for dimension reduction, 2020.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations UMAP: Uniform manifold approximation and projection for dimension reduction, 2020

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:29.210574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4db788ee-a99d-4ba9-8a2a-767a51acf363 · outbound

This paper cites an unresolved cited work.

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:33:29.170661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Reference resolution

Outbound references

Pith citing papers