policy learning

MAP Inference for Bayesian Inverse Reinforcement Learning NeurIPS 2011 Reinforcement Learning using Kernel-Based Stochastic Factorization NeurIPS 2011 Relative Entropy Inverse Reinforcement Learning AISTATS 2011 A Reduction from Apprenticeship Learning to Classification NeurIPS 2010 Bootstrapping Apprenticeship Learning NeurIPS 2010 Closing the Learning-Planning Loop with Predictive State Representations RSS 2010 Efficient Reductions for Imitation Learning AISTATS 2010 Feature Construction for Inverse Reinforcement Learning NeurIPS 2010 Learning from Logged Implicit Exploration Data NeurIPS 2010 Nonparametric Bayesian Policy Priors for Reinforcement Learning NeurIPS 2010 Reinforcement Learning to adjust Robot Movements to New Situations RSS 2010 Improving Existing Fault Recovery Policies NeurIPS 2009 Learning to Explore and Exploit in POMDPs NeurIPS 2009 Accelerated Neural Evolution through Cooperatively Coevolved Synapses JMLR 2008 Goal-directed decision making in prefrontal cortex: a computational framework NeurIPS 2008 MDPs with Non-Deterministic Policies NeurIPS 2008 Multi-Agent Reinforcement Learning in Common Interest and Fixed Sum Stochastic Games: An Experimental Study JMLR 2008 Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation NeurIPS 2008 Bayesian Policy Learning with Trans-Dimensional MCMC NeurIPS 2007 Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion NeurIPS 2007 Hierarchical Average Reward Reinforcement Learning JMLR 2007 Learning omnidirectional path following using dimensionality reduction RSS 2007 Random Sampling of States in Dynamic Programming NeurIPS 2007 Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods NeurIPS 2007 An Application of Reinforcement Learning to Aerobatic Helicopter Flight NeurIPS 2006