bellman equation

Interaction-Aware Parameter Privacy-Preserving Data Sharing in Coupled Systems via Particle Filter Reinforcement Learning L4DC 2025 Temporal Difference Flows ICML 2025 Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation ICLR 2024 Aligning Large Language Models with Representation Editing: A Control Perspective NeurIPS 2024 Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration NeurIPS 2024 Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model NeurIPS 2024 On the uniqueness of solution for the Bellman equation of LTL objectives L4DC 2024 Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning JMLR 2024 Signatures meet dynamic programming: Generalizing Bellman equations for trajectory following L4DC 2024 A Complete Characterization of Linear Estimators for Offline Policy Evaluation JMLR 2023 A finite-sample analysis of multi-step temporal difference estimates L4DC 2023 Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes AAAI 2023 Formally Verified Solution Methods for Markov Decision Processes AAAI 2023 Future-Dependent Value-Based Off-Policy Evaluation in POMDPs NeurIPS 2023 Model-Based Uncertainty in Value Functions AISTATS 2023 Model-Free Robust Average-Reward Reinforcement Learning ICML 2023 Robust Average-Reward Markov Decision Processes AAAI 2023 Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction AAAI 2023 A Temporal-Difference Approach to Policy Gradient Estimation ICML 2022 Branching Reinforcement Learning ICML 2022 Reinforcement Learning of Causal Variables Using Mediation Analysis AAAI 2022 Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms NeurIPS 2021 Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning NeurIPS 2021 Generating High-Quality Explanations for Navigation in Partially-Revealed Environments NeurIPS 2021 GMAC: A Distributional Perspective on Actor-Critic Framework ICML 2021