Deep RL

Modular Robot Design Synthesis with Deep Reinforcement Learning AAAI 2020 Momentum-Based Policy Gradient Methods ICML 2020 Momentum in Reinforcement Learning AISTATS 2020 Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients AAAI 2020 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 Determinantal Q-Learning ICML 2020 Multi-Agent Pattern Formation with Deep Reinforcement Learning (Student Abstract) AAAI 2020 Multi-Agent/Robot Deep Reinforcement Learning with Macro-Actions (Student Abstract) AAAI 2020 Multi-Agent Routing Value Iteration Network ICML 2020 Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning EMNLP 2020 Multi-step Greedy Reinforcement Learning Algorithms ICML 2020 Multitask radiological modality invariant landmark localization using deep reinforcement learning MIDL 2020 Multi-View Deep Attention Network for Reinforcement Learning (Student Abstract) AAAI 2020 Munchausen Reinforcement Learning NeurIPS 2020 Near-optimal Regret Bounds for Stochastic Shortest Path ICML 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 Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation EMNLP 2020 Noise Pollution in Hospital Readmission Prediction: Long Document Classification with Reinforcement Learning ACL 2020 Non-Crossing Quantile Regression for Distributional Reinforcement Learning NeurIPS 2020 Novelty Search in Representational Space for Sample Efficient Exploration NeurIPS 2020 Objective Mismatch in Model-based Reinforcement Learning L4DC 2020 Off-Policy Actor-Critic with Shared Experience Replay ICML 2020