Reinforcement Learning

Learning To Simulate ICLR 2019 Learning to Teach in Cooperative Multiagent Reinforcement Learning AAAI 2019 Learning to Understand Goal Specifications by Modelling Reward ICLR 2019 Learning to Walk Via Deep Reinforcement Learning RSS 2019 Learning Transferable Graph Exploration NeurIPS 2019 Learning When Not to Answer: a Ternary Reward Structure for Reinforcement Learning Based Question Answering NAACL 2019 Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks ICLR 2019 LeTS-Drive: Driving in a Crowd by Learning from Tree Search RSS 2019 Leveraging exploration in off-policy algorithms via normalizing flows CoRL 2019 Leveraging Human Guidance for Deep Reinforcement Learning Tasks IJCAI 2019 LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification EMNLP 2019 LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning NeurIPS 2019 Limiting Extrapolation in Linear Approximate Value Iteration NeurIPS 2019 Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning NeurIPS 2019 Local Koopman Operators for Data-Driven Control of Robotic Systems RSS 2019 Logarithmic Regret for Online Control NeurIPS 2019 Logic-Based Sequential Decision-Making AAAI 2019 Long Short-Term Memory with Dynamic Skip Connections AAAI 2019 Look Harder: A Neural Machine Translation Model with Hard Attention ACL 2019 LTL and Beyond: Formal Languages for Reward Function Specification in Reinforcement Learning IJCAI 2019 M^3RL: Mind-aware Multi-agent Management Reinforcement Learning ICLR 2019 Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications AAAI 2019 Machine Translation for Machines: the Sentiment Classification Use Case EMNLP 2019 Macro-Action-Based Deep Multi-Agent Reinforcement Learning CoRL 2019 Making Deep Q-learning methods robust to time discretization ICML 2019