reinforcement learning

Learning to Agglomerate Superpixel Hierarchies NeurIPS 2011 Monte Carlo Value Iteration with Macro-Actions NeurIPS 2011 Optimal Reinforcement Learning for Gaussian Systems NeurIPS 2011 Policy Gradient Coagent Networks NeurIPS 2011 Reinforcement Learning using Kernel-Based Stochastic Factorization NeurIPS 2011 Robust Approximate Bilinear Programming for Value Function Approximation JMLR 2011 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 A Convergent Online Single Time Scale Actor Critic Algorithm JMLR 2010 A Generalized Path Integral Control Approach to Reinforcement Learning JMLR 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 Effects of Synaptic Weight Diffusion on Learning in Decision Making Networks NeurIPS 2010 Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains 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 Near-optimal Regret Bounds for Reinforcement Learning JMLR 2010