Methods

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 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 Making History Matter: History-Advantage Sequence Training for Visual Dialog ICCV 2019 MAME : Model-Agnostic Meta-Exploration CoRL 2019 MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning AAAI 2019 Mapping State Space using Landmarks for Universal Goal Reaching NeurIPS 2019 Marginal Policy Gradients: A Unified Family of Estimators for Bounded Action Spaces with Applications ICLR 2019 MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning CoRL 2019