bellman operator

Joint MDPs and Reinforcement Learning in Coupled-Dynamics Environments UAI 2026 Provably Safe Offline-to-Online RL: Decoupling Learning from Data-Driven Safety Enforcement ACL 2026 Epistemic Bellman Operators AAAI 2025 Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning ICML 2025 Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood ICLR 2025 Optimistic Q-learning for average reward and episodic reinforcement learning extended abstract COLT 2025 B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis ICLR 2024 Distributional Bellman Operators over Mean Embeddings ICML 2024 Improving Offline RL by Blending Heuristics ICLR 2024 Parameterized Projected Bellman Operator AAAI 2024 POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning CVPR 2024 Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs COLT 2024 Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces NeurIPS 2024 Accelerating Value Iteration with Anchoring NeurIPS 2023 Sample Complexity of Nonparametric Off-Policy Evaluation on Low-Dimensional Manifolds using Deep Networks ICLR 2023 Simultaneously Updating All Persistence Values in Reinforcement Learning AAAI 2023 When is Realizability Sufficient for Off-Policy Reinforcement Learning? ICML 2023 Approximate Value Equivalence NeurIPS 2022 Distributional Reinforcement Learning for Risk-Sensitive Policies NeurIPS 2022 Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes ICML 2022 Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency ICML 2022 Bayesian Bellman Operators NeurIPS 2021 Distributional Reinforcement Learning via Moment Matching AAAI 2021 Fast Algorithms for L_∞-constrained S-rectangular Robust MDPs NeurIPS 2021 Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators NeurIPS 2021