Methods

Multi-Agent Systems of Inverse Reinforcement Learners in Complex Games IJCAI 2017 Multi-Task Deep Reinforcement Learning for Continuous Action Control IJCAI 2017 Multi-View Decision Processes: The Helper-AI Problem NeurIPS 2017 Mutual Alignment Transfer Learning CoRL 2017 Natural Value Approximators: Learning when to Trust Past Estimates NeurIPS 2017 Neural Episodic Control ICML 2017 Non-parametric Policy Search with Limited Information Loss JMLR 2017 Off-policy evaluation for slate recommendation NeurIPS 2017 Online Decision-Making for Scalable Autonomous Systems IJCAI 2017 On-line Dialogue Policy Learning with Companion Teaching EACL 2017 Online Reinforcement Learning in Stochastic Games NeurIPS 2017 On Thompson Sampling and Asymptotic Optimality IJCAI 2017 Optimistic posterior sampling for reinforcement learning: worst-case regret bounds NeurIPS 2017 Optimizing Long-term Predictions for Model-based Policy Search CoRL 2017 ParlAI: A Dialog Research Software Platform EMNLP 2017 Policy Gradient With Value Function Approximation For Collective Multiagent Planning NeurIPS 2017 PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning CVPR 2017 Predictive-State Decoders: Encoding the Future into Recurrent Networks NeurIPS 2017 Preparing for the Unknown: Learning a Universal Policy with Online System Identification RSS 2017 Provably Optimal Algorithms for Generalized Linear Contextual Bandits ICML 2017 Pytheas: Enabling Data-Driven Quality of Experience Optimization Using Group-Based Exploration-Exploitation NSDI 2017 Reduction Techniques for Model Checking and Learning in MDPs IJCAI 2017 Regret Minimization in MDPs with Options without Prior Knowledge NeurIPS 2017 Reinforced Video Captioning with Entailment Rewards EMNLP 2017 Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback EMNLP 2017