linear markov decision process

Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions AAAI 2025 Performative Reinforcement Learning with Linear Markov Decision Process AISTATS 2025 Reinforcement Learning for Infinite-Horizon Average-Reward Linear MDPs via Approximation by Discounted-Reward MDPs AISTATS 2025 Achieving Constant Regret in Linear Markov Decision Processes NeurIPS 2024 Demystifying Linear MDPs and Novel Dynamics Aggregation Framework ICLR 2024 Horizon-Free Regret for Linear Markov Decision Processes ICLR 2024 How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach NeurIPS 2024 Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning ICML 2024 Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo ICLR 2024 Towards Optimal Regret in Adversarial Linear MDPs with Bandit Feedback ICLR 2024 Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes NeurIPS 2024 A Theoretical Analysis of Optimistic Proximal Policy Optimization in Linear Markov Decision Processes NeurIPS 2023 Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes ICML 2023 Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation ICLR 2023 Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL NeurIPS 2023 Provable Reset-free Reinforcement Learning by No-Regret Reduction ICML 2023 Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes ICML 2023 The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning ICLR 2023 Towards Minimax Optimal Reward-free Reinforcement Learning in Linear MDPs ICLR 2023 VOQL: Towards Optimal Regret in Model-free RL with Nonlinear Function Approximation COLT 2023 Actor-critic is implicitly biased towards high entropy optimal policies ICLR 2022 Improved Algorithms for Misspecified Linear Markov Decision Processes AISTATS 2022 Online Target Q-learning with Reverse Experience Replay: Efficiently finding the Optimal Policy for Linear MDPs ICLR 2022 Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality ICLR 2022 Corruption-robust exploration in episodic reinforcement learning COLT 2021