Reinforcement Learning

Random Sampling of States in Dynamic Programming NeurIPS 2007 Receding Horizon Differential Dynamic Programming NeurIPS 2007 Regret Minimization in Games with Incomplete Information NeurIPS 2007 Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods NeurIPS 2007 Scan Strategies for Meteorological Radars NeurIPS 2007 Stable Dual Dynamic Programming NeurIPS 2007 Temporal Difference Updating without a Learning Rate NeurIPS 2007 Theoretical Analysis of Heuristic Search Methods for Online POMDPs NeurIPS 2007 Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity NeurIPS 2007 The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty RSS 2007 What makes some POMDP problems easy to approximate? NeurIPS 2007 A Gravity Balancing Passive Exoskeleton for the Human Leg RSS 2006 An Application of Reinforcement Learning to Aerobatic Helicopter Flight NeurIPS 2006 A Scalable Machine Learning Approach to Go NeurIPS 2006 Bayesian Policy Gradient Algorithms NeurIPS 2006 Boosting Structured Prediction for Imitation Learning NeurIPS 2006 Collaborative Multiagent Reinforcement Learning by Payoff Propagation JMLR 2006 Design Methodologies for Central Pattern Generators: An Application to Crawling Humanoids RSS 2006 Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning NeurIPS 2006 Evolutionary Function Approximation for Reinforcement Learning JMLR 2006 Gait Regulation and Feedback on a Robotic Climbing Hexapod RSS 2006 Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation JMLR 2006 Handling Advertisements of Unknown Quality in Search Advertising NeurIPS 2006 Haptic Playback: Modeling, Controller Design, and Stability Analysis RSS 2006 iLSTD: Eligibility Traces and Convergence Analysis NeurIPS 2006