Methods

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 Learning with Reward-Modulated Spike-Timing-Dependent Plasticity NeurIPS 2007 What makes some POMDP problems easy to approximate? NeurIPS 2007 An Application of Reinforcement Learning to Aerobatic Helicopter Flight 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 Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning NeurIPS 2006 Evolutionary Function Approximation for Reinforcement Learning JMLR 2006 Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation JMLR 2006 iLSTD: Eligibility Traces and Convergence Analysis NeurIPS 2006 Learning Nonparametric Models for Probabilistic Imitation NeurIPS 2006 Learning Operational Space Control RSS 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 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 Auction-Based Multi-Robot Routing RSS 2005 A Geometric Approach to Multi-Criterion Reinforcement Learning JMLR 2004