Reinforcement Learning

Near-optimal Regret Bounds for Reinforcement Learning NeurIPS 2008 On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor NeurIPS 2008 Optimization on a Budget: A Reinforcement Learning Approach NeurIPS 2008 Particle Filter-based Policy Gradient in POMDPs NeurIPS 2008 Psychiatry: Insights into depression through normative decision-making models NeurIPS 2008 Regularized Policy Iteration NeurIPS 2008 SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces RSS 2008 Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms NeurIPS 2008 Skill Characterization Based on Betweenness NeurIPS 2008 Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning NeurIPS 2008 Structure Learning in Human Sequential Decision-Making NeurIPS 2008 Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation NeurIPS 2008 Value Function Approximation using Multiple Aggregation for Multiattribute Resource Management JMLR 2008 A Game-Theoretic Approach to Apprenticeship Learning NeurIPS 2007 Bayes-Adaptive POMDPs NeurIPS 2007 Bayesian Policy Learning with Trans-Dimensional MCMC NeurIPS 2007 Exponential Family Predictive Representations of State NeurIPS 2007 Fitted Q-iteration in continuous action-space MDPs NeurIPS 2007 Hippocampal Contributions to Control: The Third Way NeurIPS 2007 Incremental Natural Actor-Critic Algorithms NeurIPS 2007 Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning NeurIPS 2007 Online Linear Regression and Its Application to Model-Based Reinforcement Learning NeurIPS 2007 Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs NeurIPS 2007 Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods NeurIPS 2007 Scan Strategies for Meteorological Radars NeurIPS 2007