value function

Reinforcement Learning using Kernel-Based Stochastic Factorization NeurIPS 2011 TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning NeurIPS 2011 The Fixed Points of Off-Policy TD NeurIPS 2011 A Reduction from Apprenticeship Learning to Classification NeurIPS 2010 Basis Construction from Power Series Expansions of Value Functions NeurIPS 2010 Finite-sample Analysis of Bellman Residual Minimization ACML 2010 Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation NeurIPS 2009 Multi-Step Dyna Planning for Policy Evaluation and Control NeurIPS 2009 Bounding Performance Loss in Approximate MDP Homomorphisms NeurIPS 2008 Value Function Based Reinforcement Learning in Changing Markovian Environments JMLR 2008 Fitted Q-iteration in continuous action-space MDPs NeurIPS 2007 Random Sampling of States in Dynamic Programming NeurIPS 2007 Stable Dual Dynamic Programming NeurIPS 2007 Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems JMLR 2006 Linearly-solvable Markov decision problems NeurIPS 2006 Sample Complexity of Policy Search with Known Dynamics NeurIPS 2006 An MDP-Based Recommender System JMLR 2005