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bellman error

29 papers

Papers

Optimal Non-Asymptotic Rates of Value Iteration for Average-Reward Markov Decision Processes ICLR 2025 Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation NeurIPS 2024 Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning AAAI 2024 Bi-Level Offline Policy Optimization with Limited Exploration NeurIPS 2023 Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning NeurIPS 2023 LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning ICLR 2023 Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning ICML 2023 Revisiting Bellman Errors for Offline Model Selection ICML 2023 Toward Efficient Gradient-Based Value Estimation ICML 2023 A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning JMLR 2022 On Instrumental Variable Regression for Deep Offline Policy Evaluation JMLR 2022 Oracle Inequalities for Model Selection in Offline Reinforcement Learning NeurIPS 2022 Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error ICML 2022 Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters NeurIPS 2022 Logistic Q-Learning AISTATS 2021 On Uninformative Optimal Policies in Adaptive LQR with Unknown B-Matrix L4DC 2021 Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection NeurIPS 2021 Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning ICML 2021 Learning Near Optimal Policies with Low Inherent Bellman Error ICML 2020 Minimax Weight and Q-Function Learning for Off-Policy Evaluation ICML 2020 Provably Efficient Neural GTD for Off-Policy Learning NeurIPS 2020 Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration NeurIPS 2020 Q* Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison UAI 2020 Neural Temporal-Difference Learning Converges to Global Optima NeurIPS 2019 Basis refinement strategies for linear value function approximation in MDPs NeurIPS 2015