i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops

Saminda Abeyruwan, Laura Graesser, David B. D'Ambrosio +6

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…