Deep RL

Selecting the State-Representation in Reinforcement Learning NeurIPS 2011 Speedy Q-Learning NeurIPS 2011 TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning NeurIPS 2011 The Fixed Points of Off-Policy TD NeurIPS 2011 Transfer from Multiple MDPs NeurIPS 2011 Variance Reduction in Monte-Carlo Tree Search NeurIPS 2011 A Convergent Online Single Time Scale Actor Critic Algorithm JMLR 2010 A POMDP Extension with Belief-dependent Rewards NeurIPS 2010 A Reduction from Apprenticeship Learning to Classification NeurIPS 2010 Basis Construction from Power Series Expansions of Value Functions NeurIPS 2010 Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories NeurIPS 2010 Double Q-learning NeurIPS 2010 Error Propagation for Approximate Policy and Value Iteration 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 Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks NeurIPS 2010 Nonparametric Bayesian Policy Priors for Reinforcement Learning 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