Value Iteration

Temporal Regularization for Markov Decision Process NeurIPS 2018 A Distributional Perspective on Reinforcement Learning ICML 2017 Boosted Fitted Q-Iteration ICML 2017 Improved Strong Worst-case Upper Bounds for MDP Planning IJCAI 2017 Minimax Regret Bounds for Reinforcement Learning ICML 2017 POMDPs.jl: A Framework for Sequential Decision Making under Uncertainty JMLR 2017 Reinforcement Learning under Model Mismatch NeurIPS 2017 The Predictron: End-To-End Learning and Planning ICML 2017 Value Iteration Networks IJCAI 2017 Value Prediction Network NeurIPS 2017 A Fast and Reliable Policy Improvement Algorithm AISTATS 2016 Differentially Private Policy Evaluation ICML 2016 Hierarchical Decision Making In Electricity Grid Management ICML 2016 Interactive Spoken Content Retrieval by Deep Reinforcement Learning Interspeech 2016 Learning the Variance of the Reward-To-Go JMLR 2016 Learning values across many orders of magnitude NeurIPS 2016 Model-Free Trajectory Optimization for Reinforcement Learning ICML 2016 Multi-Objective Markov Decision Processes for Data-Driven Decision Support JMLR 2016 On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search ICML 2016 Robust Phase-Space Planning for Agile Legged Locomotion over Various Terrain Topologies RSS 2016 True Online Temporal-Difference Learning JMLR 2016 Value Iteration Networks NeurIPS 2016 Approximate Modified Policy Iteration and its Application to the Game of Tetris JMLR 2015 Basis refinement strategies for linear value function approximation in MDPs NeurIPS 2015 Non-Stationary Approximate Modified Policy Iteration ICML 2015