Reinforcement Learning

Curriculum learning for multilevel budgeted combinatorial problems NeurIPS 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 Decentralized MCTS via Learned Teammate Models IJCAI 2020 Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis NeurIPS 2020 Deep Conservative Policy Iteration AAAI 2020 Deep Coordination Graphs ICML 2020 Deep Drone Acrobatics RSS 2020 Deep Imitation Learning for Bimanual Robotic Manipulation NeurIPS 2020 Deep Inverse Q-learning with Constraints NeurIPS 2020 Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space CoRL 2020 Deep Learning Tubes for Tube MPC RSS 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 Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games NeurIPS 2020