Skip to content
conftrace_

finite-horizon mdp

7 papers

Explore in graph

Co-occurring keywords · papers mentioning both

markov decision process (4) episodic reinforcement learning (2) minimax regret (2) fictitious discount (1) finite horizon (1) bernstein inequality (1) sample-efficient algorithm (1) restless bandit (1) probably approximately correct (1) pac guarantee (1)

Papers

Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits AAAI 2022 Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods AAAI 2022 A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints AAAI 2021 Local Differential Privacy for Regret Minimization in Reinforcement Learning NeurIPS 2021 Minimax Regret for Stochastic Shortest Path NeurIPS 2021 Minimax Regret Bounds for Reinforcement Learning ICML 2017 Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning NeurIPS 2015