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Luis Guzman

1 accepted papers

2022

Robotic Embodiment of Human-Like Motor Skills via Reinforcement Learning

RA-L 2022

Current methods require robots to be reprogrammed for every new task, consuming many engineering resources. This work focuses on integrating real and simulated environments for our proposed “Internet of Skills,” which enables robots to learn advanced skills from a small set of expert d

Cited by 9SourceScholar