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discounted reward

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markov decision process (3) optimistic planning (2) infinite horizon (2) value function (2) importance sampling (2) sample complexity (2) policy optimization (2) reinforcement learning (2) satisficing reward (1) lookahead property (1)

Papers

Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes AISTATS 2024 Omega-Regular Decision Processes AAAI 2024 Truncating Trajectories in Monte Carlo Reinforcement Learning ICML 2023 Synthesis from Satisficing and Temporal Goals AAAI 2022 The Geometry of Memoryless Stochastic Policy Optimization in Infinite-Horizon POMDPs ICLR 2022 Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards ICML 2020 DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections NeurIPS 2019 Scale-free adaptive planning for deterministic dynamics & discounted rewards ICML 2019 Optimistic Planning in Markov Decision Processes Using a Generative Model NeurIPS 2014 On the Use of Non-Stationary Policies for Stationary Infinite-Horizon Markov Decision Processes NeurIPS 2012