Reinforcement Learning

Learning to Agglomerate Superpixel Hierarchies NeurIPS 2011 Optimal Reinforcement Learning for Gaussian Systems NeurIPS 2011 PAC-Bayesian Analysis of Contextual Bandits NeurIPS 2011 Policy Gradient Coagent Networks NeurIPS 2011 Bootstrapping Apprenticeship Learning NeurIPS 2010 Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories NeurIPS 2010 Distributionally Robust Markov Decision Processes NeurIPS 2010 Double Q-learning NeurIPS 2010 Feature Construction for Inverse Reinforcement Learning NeurIPS 2010 Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains NeurIPS 2010 LSTD with Random Projections NeurIPS 2010 Monte-Carlo Planning in Large POMDPs NeurIPS 2010 Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks NeurIPS 2010 On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient NeurIPS 2010 Policy gradients in linearly-solvable MDPs NeurIPS 2010 Reward Design via Online Gradient Ascent NeurIPS 2010 A Generalized Natural Actor-Critic Algorithm NeurIPS 2009 Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation NeurIPS 2009 Multi-Step Dyna Planning for Policy Evaluation and Control NeurIPS 2009 Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining NeurIPS 2009 Solving Stochastic Games NeurIPS 2009 Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference NeurIPS 2009 A Convergent $O(n)$ Temporal-difference Algorithm for Off-policy Learning with Linear Function Approximation NeurIPS 2008 Biasing Approximate Dynamic Programming with a Lower Discount Factor NeurIPS 2008 Hebbian Learning of Bayes Optimal Decisions NeurIPS 2008