187 citations · 464 across the 21 of their papers we have counts for
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cs.RO2023
Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions
Desong Du, Shaohang Han, Naiming Qi +3
Reinforcement learning (RL) exhibits impressive performance when managing complicated control tasks for robots. However, its wide application to physical robots is limited by the a…
cs.RO2023★ 12 cited
Sim-and-Real Reinforcement Learning for Manipulation: A Consensus-based Approach
Wenxing Liu, Hanlin Niu, Wei Pan +2
Sim-and-real training is a promising alternative to sim-to-real training for robot manipulations. However, the current sim-and-real training is neither efficient, i.e., slow conver…