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pac reinforcement learning

9 papers

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Also known as

PAC RL

Co-occurring keywords · papers mentioning both

markov decision process (5) sample complexity (5) reinforcement learning (5) pac learning (4) rich observation (2) sub-optimality gap (2) instance-dependent bound (2) optimal policy (2) partially observable markov decision process (2) active coverage (1)

Papers

Active Coverage for PAC Reinforcement Learning COLT 2023 Optimistic PAC Reinforcement Learning: the Instance-Dependent View ALT 2023 Beyond No Regret: Instance-Dependent PAC Reinforcement Learning COLT 2022 Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPs NeurIPS 2022 Efficient PAC Reinforcement Learning in Regular Decision Processes IJCAI 2021 Reinforcement Learning with State Observation Costs in Action-Contingent Noiselessly Observable Markov Decision Processes NeurIPS 2021 On Oracle-Efficient PAC RL with Rich Observations NeurIPS 2018 Open Problem: The Dependence of Sample Complexity Lower Bounds on Planning Horizon COLT 2018 PAC Reinforcement Learning with Rich Observations NeurIPS 2016