Reinforcement Learning

Libratus: The Superhuman AI for No-Limit Poker IJCAI 2017 Mapping Instructions and Visual Observations to Actions with Reinforcement Learning EMNLP 2017 Minimax Regret Bounds for Reinforcement Learning ICML 2017 Model-Independent Online Learning for Influence Maximization ICML 2017 Modular Multitask Reinforcement Learning with Policy Sketches ICML 2017 Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments NeurIPS 2017 Multi-Agent Planning with Baseline Regret Minimization IJCAI 2017 Multi-Agent Systems of Inverse Reinforcement Learners in Complex Games IJCAI 2017 Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets NeurIPS 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 One-Shot Imitation Learning 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 the Power and Limitations of Deception in Multi-Robot Adversarial Patrolling IJCAI 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