Reinforcement Learning

Sample Efficient Reinforcement Learning with REINFORCE AAAI 2021 Scalable Bayesian Inverse Reinforcement Learning ICLR 2021 Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot ICML 2021 Scalable Online Planning via Reinforcement Learning Fine-Tuning NeurIPS 2021 Scale invariant robot behavior with fractals RSS 2021 Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing ICML 2021 Scaling Up Multi-Task Robotic Reinforcement Learning CoRL 2021 SCAPE: Learning Stiffness Control from Augmented Position Control Experiences CoRL 2021 SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II ICML 2021 SEAGuL: Sample Efficient Adversarially Guided Learning of Value Functions L4DC 2021 Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs ACL 2021 SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies ICML 2021 Self-Consistent Models and Values NeurIPS 2021 Self-correcting Q-learning AAAI 2021 Self-Motivated Communication Agent for Real-World Vision-Dialog Navigation ICCV 2021 Self-Paced Context Evaluation for Contextual Reinforcement Learning ICML 2021 Self-Supervised Attention-Aware Reinforcement Learning AAAI 2021 Self-supervised Reinforcement Learning with Independently Controllable Subgoals CoRL 2021 Self-supervised Visual Reinforcement Learning with Object-centric Representations ICLR 2021 SENSEI: Aligning Video Streaming Quality with Dynamic User Sensitivity NSDI 2021 Sequential Generative Exploration Model for Partially Observable Reinforcement Learning AAAI 2021 Settling the Variance of Multi-Agent Policy Gradients NeurIPS 2021 Shaping embodied agent behavior with activity-context priors from egocentric video NeurIPS 2021 Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks ICML 2021 Sim and Real: Better Together NeurIPS 2021