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Value Iteration

306 directly classified papers

Papers per year

Papers

Universal Value Function Approximators ICML 2015
Non-Stationary Approximate Modified Policy Iteration ICML 2015
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach NIPS 2015
Approximate Modified Policy Iteration and its Application to the Game of Tetris JMLR 2015
RLPy: A Value-Function-Based Reinforcement Learning Framework for Education and Research JMLR 2015
Robust partially observable Markov decision process ICML 2015
PAC Optimal MDP Planning with Application to Invasive Species Management JMLR 2015
Covering Number for Efficient Heuristic-based POMDP Planning ICML 2014
Scaling Up Robust MDPs using Function Approximation ICML 2014
Efficient Learning and Planning with Compressed Predictive States JMLR 2014
Solving Continuous POMDPs: Value Iteration with Incremental Learning of an Efficient Space Representation ICML 2013
DESPOT: Online POMDP Planning with Regularization NIPS 2013
Safe Policy Iteration ICML 2013
Planning by Prioritized Sweeping with Small Backups ICML 2013
Optimal Control with Weighted Average Costs and Temporal Logic Specifications RSS 2012
Transfer in Reinforcement Learning via Shared Features JMLR 2012
Linear Fitted-Q Iteration with Multiple Reward Functions JMLR 2012
Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds NIPS 2012
Value Pursuit Iteration NIPS 2012
Exploiting Best-Match Equations for Efficient Reinforcement Learning JMLR 2011
Monte-Carlo Planning in Large POMDPs NIPS 2010
Robust Value Function Approximation Using Bilinear Programming NIPS 2009
A Smoothed Approximate Linear Program NIPS 2009
Value Function Based Reinforcement Learning in Changing Markovian Environments JMLR 2008
Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes JMLR 2007