robust policy

Balance Equation-based Distributionally Robust Offline Imitation Learning L4DC 2026 Constrained and Robust Policy Synthesis with Satisfiability-Modulo-Probabilistic-Model-Checking AAAI 2026 Robust Transfer Learning With Side Information UAI 2026 Model-Free Offline Reinforcement Learning with Enhanced Robustness ICLR 2025 Adversarial Environment Design via Regret-Guided Diffusion Models NeurIPS 2024 Distributionally Robust Model-based Reinforcement Learning with Large State Spaces AISTATS 2024 Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning NeurIPS 2024 Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL ICLR 2024 Sample Complexity of Variance-Reduced Distributionally Robust Q-Learning JMLR 2024 Single-Trajectory Distributionally Robust Reinforcement Learning ICML 2024 A Bayesian Approach to Robust Inverse Reinforcement Learning CoRL 2023 Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning AISTATS 2023 Minimax-Bayes Reinforcement Learning AISTATS 2023 Distributionally Robust Q-Learning ICML 2022 Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization AAAI 2022 Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model AAAI 2022 Provably sample-efficient RL with side information about latent dynamics NeurIPS 2022 Restless and uncertain: Robust policies for restless bandits via deep multi-agent reinforcement learning UAI 2022 Robust Anytime Learning of Markov Decision Processes NeurIPS 2022 Automatic Data Augmentation for Generalization in Reinforcement Learning NeurIPS 2021 Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning AISTATS 2021 Robust Finite-State Controllers for Uncertain POMDPs AAAI 2021 Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits ICML 2020 Improving Robustness via Risk Averse Distributional Reinforcement Learning L4DC 2020 Learning Robust Decision Policies from Observational Data NeurIPS 2020