Methods

Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments CoRL 2020 MRI Reconstruction with Interpretable Pixel-Wise Operations Using Reinforcement Learning AAAI 2020 Multi-Agent Actor-Critic with Hierarchical Graph Attention Network AAAI 2020 Multi-Agent Determinantal Q-Learning ICML 2020 Multi-Agent Game Abstraction via Graph Attention Neural Network AAAI 2020 Multi-Agent Interactions Modeling with Correlated Policies ICLR 2020 Multi-Agent Pattern Formation with Deep Reinforcement Learning (Student Abstract) AAAI 2020 Multi-agent Reinforcement Learning for Networked System Control ICLR 2020 Multi-Agent/Robot Deep Reinforcement Learning with Macro-Actions (Student Abstract) AAAI 2020 Multi-Agent Routing Value Iteration Network ICML 2020 Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition ACL 2020 Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning EMNLP 2020 Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Objects AAAI 2020 Multi-step Greedy Reinforcement Learning Algorithms ICML 2020 Multi-task Batch Reinforcement Learning with Metric Learning NeurIPS 2020 Multitask radiological modality invariant landmark localization using deep reinforcement learning MIDL 2020 Multi-Task Reinforcement Learning with Soft Modularization NeurIPS 2020 Multi-View Deep Attention Network for Reinforcement Learning (Student Abstract) AAAI 2020 Munchausen Reinforcement Learning NeurIPS 2020 Natural Policy Gradient Primal-Dual Method for Constrained Markov Decision Processes NeurIPS 2020 Near-optimal Regret Bounds for Stochastic Shortest Path ICML 2020 Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning AAAI 2020 Nested-Wasserstein Self-Imitation Learning for Sequence Generation AISTATS 2020 Neural Approximate Dynamic Programming for On-Demand Ride-Pooling AAAI 2020 Neural Dynamic Policies for End-to-End Sensorimotor Learning NeurIPS 2020