i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction LoopsDownload PDFOpen Website

Published: 01 Jan 2022, Last Modified: 12 May 2023CoRL 2022Readers: Everyone
Abstract: Sim-to-real transfer is a powerful paradigm for robotic reinforcement learning. The ability to train policies in simulation enables safe exploration and large-scale data collection quickly at low c...
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