Tag
Walmart Global Tech and university researchers propose an explicit feedback contract for iterative ML-agent harnesses that only releases validation scores above a noise threshold computed from paired standard error, reducing adaptive overfitting to the validation split and preventing agents from chasing noise across repeated submissions.
A thread sharing a video of self-play RL training with lidar and PPO in Unity, followed by a lecture on building AlphaGo from scratch.
Hugging Face’s post-training team demonstrates how the HF ecosystem enables ML agents to autonomously train any AI model to peak performance.