value function estimation

PokéChamp: an Expert-level Minimax Language Agent ICML 2025 Enhancing Value Function Estimation through First-Order State-Action Dynamics in Offline Reinforcement Learning ICML 2024 Horizon-Free Regret for Linear Markov Decision Processes ICLR 2024 Neur2RO: Neural Two-Stage Robust Optimization ICLR 2024 A finite-sample analysis of multi-step temporal difference estimates L4DC 2023 Doubly Robust Augmented Transfer for Meta-Reinforcement Learning NeurIPS 2023 Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity ICML 2022 Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality ICML 2021 Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction AAAI 2021 Generalizable Episodic Memory for Deep Reinforcement Learning ICML 2021 Learning and Planning in Average-Reward Markov Decision Processes ICML 2021 On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning COLT 2021 Towards tractable optimism in model-based reinforcement learning UAI 2021 Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation NeurIPS 2021 Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation ICLR 2020 Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies ICLR 2020 On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies ICML 2020 Reducing Sampling Error in Batch Temporal Difference Learning ICML 2020 Reinforcement Learning with Dynamic Boltzmann Softmax Updates IJCAI 2020 Multi-Task Deep Reinforcement Learning with PopArt AAAI 2019 Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning ICML 2017 Dueling Network Architectures for Deep Reinforcement Learning ICML 2016 A C++ Template-Based Reinforcement Learning Library: Fitting the Code to the Mathematics JMLR 2013 Temporal Difference Updating without a Learning Rate NeurIPS 2007 Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation JMLR 2006