17 citations · 20 across the 8 of their papers we have counts for
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cs.RO2023★ 1 cited
Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models
Kun Chu, Xufeng Zhao, Cornelius Weber +2
Reinforcement Learning (RL) plays an important role in the robotic manipulation domain since it allows self-learning from trial-and-error interactions with the environment. Still,…
cs.RO2023★ 17 cited
Continual Robot Learning using Self-Supervised Task Inference
Muhammad Burhan Hafez, Stefan Wermter
Endowing robots with the human ability to learn a growing set of skills over the course of a lifetime as opposed to mastering single tasks is an open problem in robot learning. Whi…