Value Iteration

PAC Optimal MDP Planning with Application to Invasive Species Management JMLR 2015 Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach NeurIPS 2015 RLPy: A Value-Function-Based Reinforcement Learning Framework for Education and Research JMLR 2015 Robust partially observable Markov decision process ICML 2015 Universal Value Function Approximators ICML 2015 Covering Number for Efficient Heuristic-based POMDP Planning ICML 2014 Efficient Learning and Planning with Compressed Predictive States JMLR 2014 How hard is my MDP?" The distribution-norm to the rescue" NeurIPS 2014 Scaling Up Robust MDPs using Function Approximation ICML 2014 Aggregating Optimistic Planning Trees for Solving Markov Decision Processes NeurIPS 2013 Bellman Error Based Feature Generation using Random Projections on Sparse Spaces NeurIPS 2013 DESPOT: Online POMDP Planning with Regularization NeurIPS 2013 Efficient Exploration and Value Function Generalization in Deterministic Systems NeurIPS 2013 Planning by Prioritized Sweeping with Small Backups ICML 2013 Point Based Value Iteration with Optimal Belief Compression for Dec-POMDPs NeurIPS 2013 Robust Data-Driven Dynamic Programming NeurIPS 2013 Safe Policy Iteration ICML 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 Linear Fitted-Q Iteration with Multiple Reward Functions JMLR 2012 On the Use of Non-Stationary Policies for Stationary Infinite-Horizon Markov Decision Processes NeurIPS 2012 Optimal Control with Weighted Average Costs and Temporal Logic Specifications RSS 2012 Optimistic planning for Markov decision processes AISTATS 2012 Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds NeurIPS 2012