Reinforcement Learning

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 An Application of Reinforcement Learning to Aerobatic Helicopter Flight NeurIPS 2006 Bayesian Policy Gradient Algorithms NeurIPS 2006 Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning NeurIPS 2006 Handling Advertisements of Unknown Quality in Search Advertising NeurIPS 2006 iLSTD: Eligibility Traces and Convergence Analysis 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 Sample Complexity of Policy Search with Known Dynamics NeurIPS 2006 The Robustness-Performance Tradeoff in Markov Decision Processes NeurIPS 2006 Learning Rates for Q-learning JMLR 2003