Methods

Nonlinear Inverse Reinforcement Learning with Gaussian Processes NeurIPS 2011 On Strategy Stitching in Large Extensive Form Multiplayer Games NeurIPS 2011 Optimal Reinforcement Learning for Gaussian Systems NeurIPS 2011 Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning NeurIPS 2011 Policy Gradient Coagent Networks NeurIPS 2011 Reinforcement Learning using Kernel-Based Stochastic Factorization NeurIPS 2011 Relative Entropy Inverse Reinforcement Learning AISTATS 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 Variance Reduction in Monte-Carlo Tree Search NeurIPS 2011 A Convergent Online Single Time Scale Actor Critic Algorithm JMLR 2010 Adaptive Step-size Policy Gradients with Average Reward Metric ACML 2010 A Generalized Path Integral Control Approach to Reinforcement Learning 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 Bootstrapping Apprenticeship Learning NeurIPS 2010 Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories NeurIPS 2010 Distributionally Robust Markov Decision Processes NeurIPS 2010 Double Q-learning NeurIPS 2010 Efficient Reductions for Imitation Learning AISTATS 2010