value iteration

Iterative Value-Aware Model Learning NeurIPS 2018 Non-delusional Q-learning and value-iteration NeurIPS 2018 On Oracle-Efficient PAC RL with Rich Observations NeurIPS 2018 Planning and Learning with Stochastic Action Sets IJCAI 2018 Boosted Fitted Q-Iteration ICML 2017 Minimax Regret Bounds for Reinforcement Learning ICML 2017 Reinforcement Learning under Model Mismatch NeurIPS 2017 Value Iteration Networks IJCAI 2017 Generalization and Exploration via Randomized Value Functions ICML 2016 On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search ICML 2016 Value Iteration Networks NeurIPS 2016 A Deeper Look at Planning as Learning from Replay ICML 2015 Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games ICML 2015 Approximate Modified Policy Iteration and its Application to the Game of Tetris JMLR 2015 Non-Stationary Approximate Modified Policy Iteration ICML 2015 Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach NeurIPS 2015 Covering Number for Efficient Heuristic-based POMDP Planning ICML 2014 Aggregating Optimistic Planning Trees for Solving Markov Decision Processes NeurIPS 2013 Point Based Value Iteration with Optimal Belief Compression for Dec-POMDPs NeurIPS 2013 Solving Continuous POMDPs: Value Iteration with Incremental Learning of an Efficient Space Representation ICML 2013 Symbolic Opportunistic Policy Iteration for Factored-Action MDPs NeurIPS 2013 Variational Planning for Graph-based MDPs NeurIPS 2013 On the Use of Non-Stationary Policies for Stationary Infinite-Horizon Markov Decision Processes NeurIPS 2012 Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds NeurIPS 2012 Symbolic Dynamic Programming for Continuous State and Observation POMDPs NeurIPS 2012