Accelerated Robot Learning via Human Brain Signals
Iretiayo Akinola,Zizhao Wang,Junyao Shi,Xiaomin He,Pawan Lapborisuth,Jingxi Xu,David Watkins-Valls,Paul Sajda,Peter Allen,Iretiayo Akinola,Zizhao Wang,Junyao Shi,Xiaomin He,Pawan Lapborisuth,Jingxi Xu,David Watkins-Valls,Paul Sajda,Peter Allen
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 signal is mostly zeros. In contrast, humans are good at assessing and predicting the future consequences of actions and can serve as good reward/policy shapers to accelerate the robot learning process. Previous works ha...
