Provably Safe Reinforcement Learning: Conceptual Analysis, Survey, and Benchmarking

Hanna Krasowski, Jakob Thumm, Marlon Müller +3

Ensuring the safety of reinforcement learning (RL) algorithms is crucial to unlock their potential for many real-world tasks. However, vanilla RL and most safe RL approaches do not…