SafeAdapt: Provably Safe Policy Updates in Deep Reinforcement Learning

Maksim Anisimov, Francesco Belardinelli, Matthew Wicker

Safety guarantees are a prerequisite to the deployment of reinforcement learning (RL) agents in safety-critical tasks. Often, deployment environments exhibit non-stationary dynamic…