Policy Learning

Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control ICML 2017 State Aware Imitation Learning NeurIPS 2017 Successor Features for Transfer in Reinforcement Learning NeurIPS 2017 Thompson Sampling for Linear-Quadratic Control Problems AISTATS 2017 Unsupervised Perceptual Rewards for Imitation Learning RSS 2017 Using Options and Covariance Testing for Long Horizon Off-Policy Policy Evaluation NeurIPS 2017 World of Bits: An Open-Domain Platform for Web-Based Agents ICML 2017 A Fast and Reliable Policy Improvement Algorithm AISTATS 2016 Analysis of Classification-based Policy Iteration Algorithms JMLR 2016 An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning JMLR 2016 A PAC RL Algorithm for Episodic POMDPs AISTATS 2016 Approximate Newton Methods for Policy Search in Markov Decision Processes JMLR 2016 A Probabilistic Model of Social Decision Making based on Reward Maximization NeurIPS 2016 A Stochastic Model for Computer-Aided Human-Human Dialogue Interspeech 2016 Bayesian Policy Gradient and Actor-Critic Algorithms JMLR 2016 Black-Box Policy Search with Probabilistic Programs AISTATS 2016 Combined Optimization and Reinforcement Learning for Manipulation Skills RSS 2016 Cooperative Inverse Reinforcement Learning NeurIPS 2016 Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and Control ICML 2016 Differentially Private Policy Evaluation ICML 2016 Generalization and Exploration via Randomized Value Functions ICML 2016 Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization ICML 2016 Guided Policy Search via Approximate Mirror Descent NeurIPS 2016 Hierarchical Relative Entropy Policy Search JMLR 2016 Model-Free Imitation Learning with Policy Optimization ICML 2016