Reinforcement Learning

Algorithms for Learning Markov Field Policies NeurIPS 2012 A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes NeurIPS 2012 Autonomous Exploration For Navigating In MDPs COLT 2012 Bayesian Hierarchical Reinforcement Learning NeurIPS 2012 Contextual Bandit Learning with Predictable Rewards AISTATS 2012 Cost-Sensitive Exploration in Bayesian Reinforcement Learning NeurIPS 2012 Dynamic Policy Programming JMLR 2012 Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search NeurIPS 2012 Efficient Monte Carlo Counterfactual Regret Minimization in Games with Many Player Actions NeurIPS 2012 Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems NeurIPS 2012 Experiments with Balancing on Irregular Terrains using the Dreamer Mobile Humanoid Robot RSS 2012 Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress NeurIPS 2012 Exploration in Relational Domains for Model-based Reinforcement Learning JMLR 2012 Failure anticipation in pursuit-evasion RSS 2012 Finite-Sample Analysis of Least-Squares Policy Iteration JMLR 2012 Formalizing Assistive Teleoperation RSS 2012 Hierarchical Optimistic Region Selection driven by Curiosity NeurIPS 2012 Hierarchical Relative Entropy Policy Search AISTATS 2012 Hybrid Operational Space Control for Compliant Legged Systems RSS 2012 Imitation Learning by Coaching NeurIPS 2012 Integrating a Partial Model into Model Free Reinforcement Learning JMLR 2012 Inverse Reinforcement Learning through Structured Classification NeurIPS 2012 Learned Prioritization for Trading Off Accuracy and Speed NeurIPS 2012 Learning Partially Observable Models Using Temporally Abstract Decision Trees NeurIPS 2012 Linear Fitted-Q Iteration with Multiple Reward Functions JMLR 2012