robust reinforcement learning

Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning ICLR 2025 Belief-Enriched Pessimistic Q-Learning against Adversarial State Perturbations ICLR 2024 Near-Optimal Distributionally Robust Reinforcement Learning with General L_p Norms NeurIPS 2024 Robust Reinforcement Learning with General Utility NeurIPS 2024 Time-Constrained Robust MDPs NeurIPS 2024 Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NeurIPS 2024 Adjustable Robust Reinforcement Learning for Online 3D Bin Packing NeurIPS 2023 Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems NeurIPS 2023 Decentralized Robust V-learning for Solving Markov Games with Model Uncertainty JMLR 2023 Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation NeurIPS 2023 Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources ICML 2023 Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards NeurIPS 2023 Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization CoRL 2023 Robust Reinforcement Learning via Progressive Task Sequence IJCAI 2023 Robust Situational Reinforcement Learning in Face of Context Disturbances ICML 2023 Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation NeurIPS 2023 Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data ICML 2023 User-Oriented Robust Reinforcement Learning AAAI 2023 Distributionally Robust Q-Learning ICML 2022 Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning NeurIPS 2022 Maximum Entropy RL (Provably) Solves Some Robust RL Problems ICLR 2022 Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification NeurIPS 2022 Policy Gradient Method For Robust Reinforcement Learning ICML 2022 Robust Policy Learning over Multiple Uncertainty Sets ICML 2022 Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training IJCAI 2022