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robust policy

24 papers

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Co-occurring keywords

distributionally robust optimization (185) markov decision process (790) sample complexity (1169) reinforcement learning (4352) minimax optimization (186) robust optimization (307) deep reinforcement learning (903) distributionally robust reinforcement learning (4) rare event (9) environment variable (2)

Papers

Constrained and Robust Policy Synthesis with Satisfiability-Modulo-Probabilistic-Model-Checking AAAI 2026
Sample Complexity of Variance-Reduced Distributionally Robust Q-Learning JMLR 2024
Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning NIPS 2024
Adversarial Environment Design via Regret-Guided Diffusion Models NIPS 2024
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces AISTATS 2024
Minimax-Bayes Reinforcement Learning AISTATS 2023
Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning AISTATS 2023
A Bayesian Approach to Robust Inverse Reinforcement Learning CORL 2023
Robust Anytime Learning of Markov Decision Processes NIPS 2022
Provably sample-efficient RL with side information about latent dynamics NIPS 2022
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model AAAI 2022
Distributionally Robust $Q$-Learning ICML 2022
Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization AAAI 2022
Restless and uncertain: Robust policies for restless bandits via deep multi-agent reinforcement learning UAI 2022
Robust Finite-State Controllers for Uncertain POMDPs AAAI 2021
Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning AISTATS 2021
Automatic Data Augmentation for Generalization in Reinforcement Learning NIPS 2021
Learning Robust Decision Policies from Observational Data NIPS 2020
Robust Reinforcement Learning with Bayesian Optimisation and Quadrature JMLR 2020
Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits ICML 2020
Improving Robustness via Risk Averse Distributional Reinforcement Learning L4DC 2020
Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient AAAI 2019
Fingerprint Policy Optimisation for Robust Reinforcement Learning ICML 2019
Robust partially observable Markov decision process ICML 2015