Methods

Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model NeurIPS 2021 Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity ICML 2021 Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting NeurIPS 2021 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 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 Self-Consistent Models and Values NeurIPS 2021 Self-correcting Q-learning AAAI 2021 Self-Supervised Attention-Aware Reinforcement Learning AAAI 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 Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks ICML 2021 SimPoE: Simulated Character Control for 3D Human Pose Estimation CVPR 2021 Skill Discovery for Exploration and Planning using Deep Skill Graphs ICML 2021 SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments ICLR 2021 Smooth Exploration for Robotic Reinforcement Learning CoRL 2021 Social Interactions as Recursive MDPs CoRL 2021