reinforcement learning

A computational model of hippocampal function in trace conditioning NeurIPS 2008 Biasing Approximate Dynamic Programming with a Lower Discount Factor NeurIPS 2008 Bounding Performance Loss in Approximate MDP Homomorphisms NeurIPS 2008 Fitted Q-iteration by Advantage Weighted Regression NeurIPS 2008 Goal-directed decision making in prefrontal cortex: a computational framework NeurIPS 2008 Hebbian Learning of Bayes Optimal Decisions NeurIPS 2008 Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement NeurIPS 2008 Multi-resolution Exploration in Continuous Spaces NeurIPS 2008 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 Policy Search for Motor Primitives in Robotics 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 Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning NeurIPS 2008 Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation NeurIPS 2008 Temporal Dynamics of Cognitive Control NeurIPS 2008 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 Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion NeurIPS 2007 Hippocampal Contributions to Control: The Third Way NeurIPS 2007 Incremental Natural Actor-Critic Algorithms NeurIPS 2007