Value Iteration

Parameterized Projected Bellman Operator AAAI 2024 Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning ICML 2024 Reinforcement Learning and Regret Bounds for Admission Control ICML 2024 Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity NeurIPS 2024 SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning NeurIPS 2024 Sketched Newton Value Iteration for Large-Scale Markov Decision Processes AAAI 2024 Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs NeurIPS 2024 Statistical Efficiency of Distributional Temporal Difference Learning NeurIPS 2024 Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning AAAI 2024 Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation ICML 2024 The surprising efficiency of temporal difference learning for rare event prediction NeurIPS 2024 Transition Constrained Bayesian Optimization via Markov Decision Processes NeurIPS 2024 Accelerating Value Iteration with Anchoring NeurIPS 2023 A Complete Characterization of Linear Estimators for Offline Policy Evaluation JMLR 2023 A Fair Incentive Scheme for Community Health Workers AAAI 2023 A Tale of Sampling and Estimation in Discounted Reinforcement Learning AISTATS 2023 A Tale of Two Efficient Value Iteration Algorithms for Solving Linear MDPs with Large Action Space AISTATS 2023 Autonomous Exploration for Navigating in MDPs Using Blackbox RL Algorithms IJCAI 2023 Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions NeurIPS 2023 Convex Reinforcement Learning in Finite Trials JMLR 2023 Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation ICML 2023 Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning AISTATS 2023 Entropic Risk Optimization in Discounted MDPs AISTATS 2023 Finding Counterfactually Optimal Action Sequences in Continuous State Spaces NeurIPS 2023 Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning AISTATS 2023