value iteration

A Differential Perspective on Distributional Reinforcement Learning AAAI 2026 Best-Effort Policies for Robust Markov Decision Processes AAAI 2026 Beyond Single-Step Updates: Reinforcement Learning of Heuristics with Limited-Horizon Search AAAI 2026 Distributionally Robust Online Markov Game with Linear Function Approximation AAAI 2026 Neural Value Iteration UAI 2026 Sample-Efficient Learning of Probabilistic Causes for Reachability in Markov Decision Processes with Probabilistic Guarantees UAI 2026 A Computationally Efficient Algorithm for Infinite-Horizon Average-Reward Linear MDPs ICML 2025 Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics ICLR 2025 Federated UCBVI: Communication-Efficient Federated Regret Minimization with Heterogeneous Agents AISTATS 2025 Infinite-Horizon Reinforcement Learning with Multinomial Logit Function Approximation AISTATS 2025 Learning Infinite-Horizon Average-Reward Linear Mixture MDPs of Bounded Span AISTATS 2025 Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions AAAI 2025 ModelDiff: Symbolic Dynamic Programming for Model-Aware Policy Transfer in Deep Q-Learning AAAI 2025 Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model AISTATS 2025 No Regret Reinforcement Learning Algorithms for Online Scheduling with Multi-Stage Tasks IJCAI 2025 Optimal Non-Asymptotic Rates of Value Iteration for Average-Reward Markov Decision Processes ICLR 2025 Quantum Algorithms for Finite-horizon Markov Decision Processes ICML 2025 Reward Adaptation via Q-Manipulation: Provably Beneficial Reward Function Transfer in Reinforcement Learning IJCAI 2025 Robust Offline Reinforcement Learning with Linearly Structured f-Divergence Regularization ICML 2025 Scalable Solutions for Decision-Making Systems Using Explainable Policy Representations AAAI 2025 Achieving Tractable Minimax Optimal Regret in Average Reward MDPs NeurIPS 2024 ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning AAAI 2024 Adaptive Q-Aid for Conditional Supervised Learning in Offline Reinforcement Learning NeurIPS 2024 Approximation Algorithms for Observer Aware MDPs UAI 2024 Corruption-Robust Offline Two-Player Zero-Sum Markov Games AISTATS 2024