Verifiably Safe Exploration for End-to-End Reinforcement Learning

Nathan Hunt, Nathan Fulton, Sara Magliacane +3

Deploying deep reinforcement learning in safety-critical settings requires developing algorithms that obey hard constraints during exploration. This paper contributes a first appro…