← heapsort
RESEARCH27

Learning to be Safe: Deep RL with a Safety Critic

DEV.to AIΒ·April 21, 2026

This content explores a novel approach to Deep Reinforcement Learning by integrating a "safety critic" to prevent unsafe actions. The methodology aims to enhance the reliability and robustness of AI agents, making them suitable for real-world deployment where safety is critical.

Read original β†—