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linear mixture markov decision process

5 papers

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Co-occurring keywords · papers mentioning both

linear mixture mdp (3) regret bound (2) linear function approximation (2) variance-dependent regret (1) horizon-free regret (1) horizon-free reinforcement learning (1) weighted least square estimator (1) plug-in solver (1) horizon-free algorithm (1) variance-dependent regret bound (1)

Papers

Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition ICLR 2023 Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency COLT 2023 Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs NeurIPS 2022 Nearly Minimax Optimal Regret for Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation AISTATS 2022 Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver ICLR 2022