Deep RL

Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning AAAI 2020 Count-Based Exploration with the Successor Representation AAAI 2020 Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach AAAI 2020 Crowd-Steer: Realtime Smooth and Collision-Free Robot Navigation in Densely Crowded Scenarios Trained using High-Fidelity Simulation IJCAI 2020 CURL: Contrastive Unsupervised Representations for Reinforcement Learning ICML 2020 Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation EMNLP 2020 Data-Driven Market-Making via Model-Free Learning IJCAI 2020 Data Valuation using Reinforcement Learning ICML 2020 DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames ICLR 2020 Deep Conservative Policy Iteration AAAI 2020 Deep Coordination Graphs ICML 2020 Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization AAAI 2020 Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actions ICML 2020 Deep Reactive Planning in Dynamic Environments CoRL 2020 Deep Reinforcement and InfoMax Learning NeurIPS 2020 Deep Reinforcement Learning for Active Human Pose Estimation AAAI 2020 Deep Reinforcement Learning for Closed-Loop Blood Glucose Control MLHC 2020 Deep Reinforcement Learning for General Game Playing AAAI 2020 Deep Reinforcement Learning for Organ Localization in CT MIDL 2020 Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control CoRL 2020 Deep Reinforcement Learning with Robust and Smooth Policy ICML 2020 Deep Symbolic Superoptimization Without Human Knowledge ICLR 2020 DeepWeave: Accelerating Job Completion Time with Deep Reinforcement Learning-based Coflow Scheduling IJCAI 2020 Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach ICML 2020 Determining the Possibility of Transfer Learning in Deep Reinforcement Learning Using Grad-CAM (Student Abstract) AAAI 2020