Reinforcement Learning

Improving Robot Navigation Through Self-Supervised Online Learning RSS 2006 Integrated Planning and Control for Convex-bodied Nonholonomic systems using Local Feedback Control Policies RSS 2006 Learning Nonparametric Models for Probabilistic Imitation NeurIPS 2006 Learning Operational Space Control RSS 2006 Learning Recursive Control Programs from Problem Solving JMLR 2006 Linearly-solvable Markov decision problems NeurIPS 2006 Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning NeurIPS 2006 Natural Actor-Critic for Road Traffic Optimisation NeurIPS 2006 Policy Gradient in Continuous Time JMLR 2006 Qualitative Hybrid Control of Dynamic Bipedal Walking RSS 2006 Robotic Grasping of Novel Objects NeurIPS 2006 Sample Complexity of Policy Search with Known Dynamics NeurIPS 2006 The Robustness-Performance Tradeoff in Markov Decision Processes NeurIPS 2006 A Generalization Error for Q-Learning JMLR 2005 An MDP-Based Recommender System JMLR 2005 Auction-Based Multi-Robot Routing RSS 2005 Blind Swarms for Coverage in 2-D RSS 2005 Data Structure for Efficient Processing in 3-D RSS 2005 Effcient Motion Planning Based on Disassembly RSS 2005 Efficient Exploration With Latent Structure RSS 2005 Prioritization Methods for Accelerating MDP Solvers JMLR 2005 Tree-Based Batch Mode Reinforcement Learning JMLR 2005 A Geometric Approach to Multi-Criterion Reinforcement Learning JMLR 2004 Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning JMLR 2004 Least-Squares Policy Iteration JMLR 2003