Value Iteration

Generalised Policy Improvement with Geometric Policy Composition ICML 2022 Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes AAAI 2022 How Private Is Your RL Policy? An Inverse RL Based Analysis Framework AAAI 2022 Improved Regret for Differentially Private Exploration in Linear MDP ICML 2022 Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets NeurIPS 2022 Model-Value Inconsistency as a Signal for Epistemic Uncertainty ICML 2022 Near Optimality of Finite Memory Feedback Policies in Partially Observed Markov Decision Processes JMLR 2022 Offline stochastic shortest path: Learning, evaluation and towards optimality UAI 2022 Operator Splitting Value Iteration NeurIPS 2022 Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer ICML 2022 Policy Evaluation and Temporal-Difference Learning in Continuous Time and Space: A Martingale Approach JMLR 2022 Primal-Dual Stochastic Mirror Descent for MDPs AISTATS 2022 Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits AAAI 2022 Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting AAAI 2022 Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems AISTATS 2022 ResQ: A Residual Q Function-based Approach for Multi-Agent Reinforcement Learning Value Factorization NeurIPS 2022 Rethinking Value Function Learning for Generalization in Reinforcement Learning NeurIPS 2022 Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions NeurIPS 2022 The Geometry of Robust Value Functions ICML 2022 Towards Real-World Navigation With Deep Differentiable Planners CVPR 2022 Using Reinforcement Learning for Operating Educational Campuses Safely during a Pandemic (Student Abstract) AAAI 2022 ValueNetQP: Learned One-step Optimal Control for Legged Locomotion L4DC 2022 Value Refinement Network (VRN) IJCAI 2022 Abstract Value Iteration for Hierarchical Reinforcement Learning AISTATS 2021 Adaptive Sampling for Best Policy Identification in Markov Decision Processes ICML 2021