Reinforcement Learning

Thompson Sampling for Learning Parameterized Markov Decision Processes COLT 2015 Toward Minimax Off-policy Value Estimation AISTATS 2015 Trust Region Policy Optimization ICML 2015 Universal Value Function Approximators ICML 2015 Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning NeurIPS 2015 5-DOF Manipulation of an Untethered Magnetic Device in Fluid using a Single Permanent Magnet RSS 2014 Active Contextual Policy Search JMLR 2014 Active Learning of Parameterized Skills ICML 2014 Active Reward Learning RSS 2014 Algorithms for CVaR Optimization in MDPs NeurIPS 2014 A new Q(lambda) with interim forward view and Monte Carlo equivalence ICML 2014 A Physics-Based Model Prior for Object-Oriented MDPs ICML 2014 Approximate Policy Iteration Schemes: A Comparison ICML 2014 Bayes-Adaptive Simulation-based Search with Value Function Approximation NeurIPS 2014 Cogging Torque Ripple Minimization via Position Based Characterization RSS 2014 Correct High-level Robot Behavior in Environments with Unexpected Events RSS 2014 Covering Number for Efficient Heuristic-based POMDP Planning ICML 2014 Cover Tree Bayesian Reinforcement Learning JMLR 2014 Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning NeurIPS 2014 Design Principles of the Hippocampal Cognitive Map NeurIPS 2014 Deterministic Policy Gradient Algorithms ICML 2014 Difference of Convex Functions Programming for Reinforcement Learning NeurIPS 2014 Dynamic Programming Boosting for Discriminative Macro-Action Discovery ICML 2014 Efficient Learning and Planning with Compressed Predictive States JMLR 2014 How hard is my MDP?" The distribution-norm to the rescue" NeurIPS 2014