Safe Reinforcement Learning via Recovery-based Shielding with Gaussian Process Dynamics Models
This paper introduces a novel recovery-based shielding framework that enables safe RL with a provable safety lower bound for unknown and non-linear continuous dynamical systems.
Alexander W. Goodall, Francesco Belardinelli
· Adaptive Agents and Multi-Ag... · 2 citations