Safe Reinforcement Learning by Imagining the Near Future

Garrett Thomas, Yuping Luo, Tengyu Ma

Safe reinforcement learning is a promising path toward applying reinforcement learning algorithms to real-world problems, where suboptimal behaviors may lead to actual negative con…