policy learning

Generative Adversarial Imitation Learning NeurIPS 2016 Learning Multiagent Communication with Backpropagation NeurIPS 2016 Reinforcement Learning for Visual Object Detection CVPR 2016 Smooth Imitation Learning for Online Sequence Prediction ICML 2016 Batch Learning from Logged Bandit Feedback through Counterfactual Risk Minimization JMLR 2015 Counterfactual Risk Minimization: Learning from Logged Bandit Feedback ICML 2015 Inverse Reinforcement Learning with Locally Consistent Reward Functions NeurIPS 2015 Active Reward Learning RSS 2014 Multi-Objective Reinforcement Learning using Sets of Pareto Dominating Policies JMLR 2014 Reinforcement learning with value advice ACML 2014 Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations ICML 2014 Universal Option Models NeurIPS 2014 Approximate Dynamic Programming Finally Performs Well in the Game of Tetris NeurIPS 2013 EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning ACML 2013 Maximum Mean Discrepancy Imitation Learning RSS 2013 Policy Shaping: Integrating Human Feedback with Reinforcement Learning NeurIPS 2013 A Bayesian Approach for Policy Learning from Trajectory Preference Queries NeurIPS 2012 Algorithms for Learning Markov Field Policies NeurIPS 2012 Bayesian Hierarchical Reinforcement Learning NeurIPS 2012 Contextual Bandit Learning with Predictable Rewards AISTATS 2012 Imitation Learning by Coaching NeurIPS 2012 Learned Prioritization for Trading Off Accuracy and Speed NeurIPS 2012 On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization NeurIPS 2012 On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference RSS 2012 Contextual Bandit Algorithms with Supervised Learning Guarantees AISTATS 2011