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infinite horizon

11 papers

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markov decision process (4) model-free reinforcement learning (2) average reward (2) discounted reward (2) model-based reinforcement learning (2) value iteration (2) value function (2) reinforcement learning (2) value gradient (1) approximate optimality (1)

Papers

Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes AISTATS 2024 Wasserstein distributionally robust regret-optimal control over infinite-horizon L4DC 2024 A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes AAAI 2022 Fast Approximate Dynamic Programming for Infinite-Horizon Markov Decision Processes NeurIPS 2021 Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning NeurIPS 2020 Deterministic Value-Policy Gradients AAAI 2020 Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction NeurIPS 2020 Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes ICML 2020 Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation NeurIPS 2018 On the Use of Non-Stationary Policies for Stationary Infinite-Horizon Markov Decision Processes NeurIPS 2012 Infinite-Horizon Model Predictive Control for Periodic Tasks with Contacts RSS 2011