reinforcement learning

Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning NeurIPS 2007 Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs NeurIPS 2007 Random Sampling of States in Dynamic Programming NeurIPS 2007 Receding Horizon Differential Dynamic Programming 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 Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems JMLR 2006 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 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