Reinforcement Learning

The Fixed Points of Off-Policy TD NeurIPS 2011 Transfer from Multiple MDPs NeurIPS 2011 Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs RSS 2011 Adaptive Step-size Policy Gradients with Average Reward Metric ACML 2010 A POMDP Extension with Belief-dependent Rewards NeurIPS 2010 A Reduction from Apprenticeship Learning to Classification NeurIPS 2010 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 Effects of Synaptic Weight Diffusion on Learning in Decision Making Networks NeurIPS 2010 Error Propagation for Approximate Policy and Value Iteration NeurIPS 2010 Finite-sample Analysis of Bellman Residual Minimization ACML 2010 Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains NeurIPS 2010 Linear Complementarity for Regularized Policy Evaluation and Improvement NeurIPS 2010 LSTD with Random Projections NeurIPS 2010 Model-Free Monte Carlo-like Policy Evaluation AISTATS 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 Online Markov Decision Processes under Bandit Feedback NeurIPS 2010 PAC-Bayesian Model Selection for Reinforcement Learning NeurIPS 2010 Policy gradients in linearly-solvable MDPs NeurIPS 2010 Predictive State Temporal Difference Learning NeurIPS 2010 Reinforcement Learning to adjust Robot Movements to New Situations RSS 2010 Reward Design via Online Gradient Ascent NeurIPS 2010