Reinforcement Learning

Optimizing Energy Production Using Policy Search and Predictive State Representations NeurIPS 2014 Pre- and Post-Contact Policy Decomposition for Planar Contact Manipulation Under Uncertainty RSS 2014 Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints RSS 2014 RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning NeurIPS 2014 Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem ICML 2014 Resourceful Contextual Bandits COLT 2014 Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations ICML 2014 Scaling Up Robust MDPs using Function Approximation ICML 2014 State Representation Learning in Robotics: Using Prior Knowledge about Physical Interaction RSS 2014 Time-Regularized Interrupting Options (TRIO) ICML 2014 True Online TD(lambda) ICML 2014 Universal Option Models NeurIPS 2014 Weighted importance sampling for off-policy learning with linear function approximation NeurIPS 2014 Actor-Critic Algorithms for Risk-Sensitive MDPs NeurIPS 2013 Adaptive Step-Size for Policy Gradient Methods NeurIPS 2013 Aggregating Optimistic Planning Trees for Solving Markov Decision Processes NeurIPS 2013 Approximate Dynamic Programming Finally Performs Well in the Game of Tetris NeurIPS 2013 Bellman Error Based Feature Generation using Random Projections on Sparse Spaces NeurIPS 2013 Combinatorial Multi-Armed Bandit: General Framework and Applications ICML 2013 Competing with an Infinite Set of Models in Reinforcement Learning AISTATS 2013 Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising JMLR 2013 DESPOT: Online POMDP Planning with Regularization NeurIPS 2013 Efficient Exploration and Value Function Generalization in Deterministic Systems NeurIPS 2013 EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning ACML 2013 Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting NeurIPS 2013