Methods

Q-learning for history-based reinforcement learning ACML 2013 Regret based Robust Solutions for Uncertain Markov Decision Processes NeurIPS 2013 Reinforcement Learning in Robust Markov Decision Processes NeurIPS 2013 Reward Mapping for Transfer in Long-Lived Agents NeurIPS 2013 Safe Policy Iteration ICML 2013 Sequential Transfer in Multi-armed Bandit with Finite Set of Models NeurIPS 2013 Symbolic Opportunistic Policy Iteration for Factored-Action MDPs NeurIPS 2013 Temporal Difference Methods for the Variance of the Reward To Go ICML 2013 Variational Policy Search via Trajectory Optimization NeurIPS 2013 A Bayesian Approach for Policy Learning from Trajectory Preference Queries NeurIPS 2012 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 Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress NeurIPS 2012 Exploration in Relational Domains for Model-based Reinforcement Learning JMLR 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