Reinforcement Learning

Reinforcement Learning in Robust Markov Decision Processes NeurIPS 2013 Reward Mapping for Transfer in Long-Lived Agents NeurIPS 2013 Variational Policy Search via Trajectory Optimization NeurIPS 2013 Algorithms for Learning Markov Field Policies NeurIPS 2012 Bayesian Hierarchical Reinforcement Learning NeurIPS 2012 Cost-Sensitive Exploration in Bayesian Reinforcement Learning NeurIPS 2012 Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search NeurIPS 2012 Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems NeurIPS 2012 Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress NeurIPS 2012 Hierarchical Optimistic Region Selection driven by Curiosity NeurIPS 2012 Imitation Learning by Coaching NeurIPS 2012 Inverse Reinforcement Learning through Structured Classification NeurIPS 2012 Learned Prioritization for Trading Off Accuracy and Speed NeurIPS 2012 Neurally Plausible Reinforcement Learning of Working Memory Tasks NeurIPS 2012 Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions NeurIPS 2012 Timely Object Recognition NeurIPS 2012 Towards a learning-theoretic analysis of spike-timing dependent plasticity NeurIPS 2012 Transferring Expectations in Model-based Reinforcement Learning NeurIPS 2012 Value Pursuit Iteration NeurIPS 2012 Weighted Likelihood Policy Search with Model Selection NeurIPS 2012 Action-Gap Phenomenon in Reinforcement Learning NeurIPS 2011 Analysis and Improvement of Policy Gradient Estimation NeurIPS 2011 An Empirical Evaluation of Thompson Sampling NeurIPS 2011 Blending Autonomous Exploration and Apprenticeship Learning NeurIPS 2011 Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery NeurIPS 2011