Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning

Yecheng Jason Ma, Andrew Shen, Osbert Bastani +1

Reinforcement Learning (RL) agents in the real world must satisfy safety constraints in addition to maximizing a reward objective. Model-based RL algorithms hold promise for reduci…