deep reinforcement learning

MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning NeurIPS 2020 Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards AAAI 2020 Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations AAAI 2020 Model-Free Real-Time Autonomous Energy Management for a Residential Multi-Carrier Energy System: A Deep Reinforcement Learning Approach IJCAI 2020 Modular Robot Design Synthesis with Deep Reinforcement Learning AAAI 2020 Monte-Carlo Tree Search as Regularized Policy Optimization ICML 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 Pattern Formation with Deep Reinforcement Learning (Student Abstract) AAAI 2020 Multi-Agent/Robot Deep Reinforcement Learning with Macro-Actions (Student Abstract) AAAI 2020 Multi-Level Structure vs. End-to-End-Learning in High-Performance Tactile Robotic Manipulation CoRL 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 Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning ICLR 2020 Neural Approximate Dynamic Programming for On-Demand Ride-Pooling AAAI 2020 On Bonus Based Exploration Methods In The Arcade Learning Environment ICLR 2020 On the Expressivity of Neural Networks for Deep Reinforcement Learning ICML 2020 On the Role of Weight Sharing During Deep Option Learning AAAI 2020 Optical Non-Line-of-Sight Physics-Based 3D Human Pose Estimation CVPR 2020 Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning AAAI 2020 Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games NeurIPS 2020 Policy learning in SE(3) action spaces CoRL 2020 POMDPs in Continuous Time and Discrete Spaces NeurIPS 2020 Progressive Relation Learning for Group Activity Recognition CVPR 2020