Methods

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 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 Stochastic Recruitment: A Limited-Feedback Control Policy for Large Ensemble Systems RSS 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 Bayes-Adaptive POMDPs NeurIPS 2007 Bayesian Policy Learning with Trans-Dimensional MCMC NeurIPS 2007 Competition Adds Complexity NeurIPS 2007 Composition of Vector Fields for Multi-Robot Manipulation via Caging RSS 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 Hierarchical Average Reward Reinforcement Learning JMLR 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 Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes JMLR 2007 Random Sampling of States in Dynamic Programming NeurIPS 2007 Receding Horizon Differential Dynamic Programming NeurIPS 2007