Dyna-Style Safety Augmented Reinforcement Learning: Staying Safe in the Face of Uncertainty
arXiv:2604.25508v1 Announce Type: new
Abstract: Safety remains an open problem in reinforcement learning (RL), especially during training. While safety filters are promising to address safe exploration, they are generally poorly suited for high-dimens…