Reinforcement Learning

Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement NeurIPS 2008 Mortal Multi-Armed Bandits NeurIPS 2008 Multi-resolution Exploration in Continuous Spaces 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 Psychiatry: Insights into depression through normative decision-making models NeurIPS 2008 Regularized Policy Iteration NeurIPS 2008 Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms NeurIPS 2008 Skill Characterization Based on Betweenness NeurIPS 2008 Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation NeurIPS 2008 Bayes-Adaptive POMDPs NeurIPS 2007 Bayesian Policy Learning with Trans-Dimensional MCMC NeurIPS 2007 Exponential Family Predictive Representations of State NeurIPS 2007 Hippocampal Contributions to Control: The Third Way NeurIPS 2007 Incremental Natural Actor-Critic Algorithms NeurIPS 2007 Online Linear Regression and Its Application to Model-Based Reinforcement Learning NeurIPS 2007 Scan Strategies for Meteorological Radars NeurIPS 2007 Temporal Difference Updating without a Learning Rate NeurIPS 2007 Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity NeurIPS 2007 An Application of Reinforcement Learning to Aerobatic Helicopter Flight NeurIPS 2006 Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning NeurIPS 2006 Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning NeurIPS 2006 Natural Actor-Critic for Road Traffic Optimisation NeurIPS 2006