268 citations · 371 across the 18 of their papers we have counts for
Showing cs.ROShow all
2 papers · 1 filter
cs.RO2024
Enabling Multi-Robot Collaboration from Single-Human Guidance
Zhengran Ji, Lingyu Zhang, Paul Sajda +1
Learning collaborative behaviors is essential for multi-agent systems. Traditionally, multi-agent reinforcement learning solves this implicitly through a joint reward and centraliz…
cs.RO2019
Accelerated Robot Learning via Human Brain Signals
Iretiayo Akinola, Zizhao Wang, Junyao Shi +6
In reinforcement learning (RL), sparse rewards are a natural way to specify the task to be learned. However, most RL algorithms struggle to learn in this setting since the learning…