robot manipulation

Play it by Ear: Learning Skills amidst Occlusion through Audio-Visual Imitation Learning RSS 2022 R3M: A Universal Visual Representation for Robot Manipulation CoRL 2022 Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward CoRL 2022 Reward Uncertainty for Exploration in Preference-based Reinforcement Learning ICLR 2022 SE(2)-Equivariant Pushing Dynamics Models for Tabletop Object Manipulations CoRL 2022 SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields CoRL 2022 Should I Run Offline Reinforcement Learning or Behavioral Cloning? ICLR 2022 Tailoring Visual Object Representations to Human Requirements: A Case Study with a Recycling Robot CoRL 2022 Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning CoRL 2022 Transformers Are Adaptable Task Planners CoRL 2022 VER: Scaling On-Policy RL Leads to the Emergence of Navigation in Embodied Rearrangement NeurIPS 2022 VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors CoRL 2022 Watch and Match: Supercharging Imitation with Regularized Optimal Transport CoRL 2022 Where To Start? Transferring Simple Skills to Complex Environments CoRL 2022 Ab Initio Particle-based Object Manipulation RSS 2021 Active Learning of Abstract Plan Feasibility RSS 2021 Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization CoRL 2021 A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms JMLR 2021 A System for General In-Hand Object Re-Orientation CoRL 2021 A Workflow for Offline Model-Free Robotic Reinforcement Learning CoRL 2021 Conservative Data Sharing for Multi-Task Offline Reinforcement Learning NeurIPS 2021 Data-efficient Hindsight Off-policy Option Learning ICML 2021 Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation ICML 2021 Demonstration-Guided Reinforcement Learning with Learned Skills CoRL 2021 Demonstration of the EMPATHIC Framework for Task Learning from Implicit Human Feedback AAAI 2021