Methods

Error Propagation for Approximate Policy and Value Iteration NeurIPS 2010 Feature Construction for Inverse Reinforcement Learning NeurIPS 2010 Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains NeurIPS 2010 Learning from Logged Implicit Exploration Data NeurIPS 2010 Learning Policy Improvements with Path Integrals AISTATS 2010 Linear Complementarity for Regularized Policy Evaluation and Improvement NeurIPS 2010 LSTD with Random Projections NeurIPS 2010 Model-Free Monte Carlo-like Policy Evaluation AISTATS 2010 Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks NeurIPS 2010 Nonparametric Bayesian Policy Priors for Reinforcement Learning NeurIPS 2010 On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient NeurIPS 2010 Online Markov Decision Processes under Bandit Feedback NeurIPS 2010 PAC-Bayesian Model Selection for Reinforcement Learning NeurIPS 2010 Parametric Bandits: The Generalized Linear Case NeurIPS 2010 Policy gradients in linearly-solvable MDPs NeurIPS 2010 Predictive State Temporal Difference Learning NeurIPS 2010 Reinforcement Learning to adjust Robot Movements to New Situations RSS 2010 Reward Design via Online Gradient Ascent NeurIPS 2010 Variable Impedance Control - A Reinforcement Learning Approach RSS 2010 Variational methods for Reinforcement Learning AISTATS 2010 A Generalized Natural Actor-Critic Algorithm NeurIPS 2009 Bootstrapping from Game Tree Search NeurIPS 2009 Code-specific policy gradient rules for spiking neurons NeurIPS 2009 Complexity of Decentralized Control: Special Cases NeurIPS 2009 Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation NeurIPS 2009