#self-supervised learning

Why 1000-Layer Networks Finally Work for Reinforcement Learning

Recent research shows 1024-layer networks achieve 2x to 50x improvements in goal-conditioned RL. Here's why extreme depth works now, and when you should consider it for your own agents.