fitted q-iteration

Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint) AAAI 2024 Reward-Relevance-Filtered Linear Offline Reinforcement Learning AISTATS 2024 Switching the Loss Reduces the Cost in Batch Reinforcement Learning ICML 2024 A Complete Characterization of Linear Estimators for Offline Policy Evaluation JMLR 2023 On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization ICML 2023 Over-parameterized Deep Nonparametric Regression for Dependent Data with Its Applications to Reinforcement Learning JMLR 2023 Sample Efficient Reinforcement Learning in Mixed Systems through Augmented Samples and Its Applications to Queueing Networks NeurIPS 2023 Robust Reinforcement Learning using Offline Data NeurIPS 2022 Fast Rates for the Regret of Offline Reinforcement Learning COLT 2021 Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient ICML 2021 Variance-Aware Off-Policy Evaluation with Linear Function Approximation NeurIPS 2021 A Theoretical Analysis of Deep Q-Learning L4DC 2020 Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning ICML 2020 Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation ICML 2020 Boosted Fitted Q-Iteration ICML 2017 Multi-Objective Markov Decision Processes for Data-Driven Decision Support JMLR 2016 Sparse Multi-Task Reinforcement Learning NeurIPS 2014 Linear Fitted-Q Iteration with Multiple Reward Functions JMLR 2012 Fitted Q-iteration by Advantage Weighted Regression NeurIPS 2008 Fitted Q-iteration in continuous action-space MDPs NeurIPS 2007