Safe Reinforcement Learning in Black-Box Environments via Adaptive Shielding

Safe reinforcement learning is essential for safety-critical domains, but current methods are often rely on prior knowledge. We have developed ADVICE, a new post-shielding method that learns safety-relevant structure using a contrastive autoencoder, reducing safety violations while maintaining competitive reward, all without using any prior knowledge.