Robust Reinforcement Learning via Genetic Curriculum
Yeeho Song,Jeff Schneider,Yeeho Song,Jeff Schneider
Achieving robust performance is crucial when applying deep reinforcement learning (RL) in safety critical systems. Some of the state of the art approaches try to address the problem with adversarial agents, but these agents often require expert supervision to fine tune and prevent the adversary from becoming too challenging to the trainee agent. While other approaches involve automatically adjusti...
