Automated deep learning by recurrent hyperparameter optimization
Shuigeng Zhou
Nature Communications, Published online: 04 May 2026; doi:10.1038/s41467-026-72413-9 Rocket introduces a self-play RL framework for automated hyperparameter optimization, handling mixed types without priors. It scales large datasets via reward approximation, achieving expert-level performance while cutting time and cost in real-world deployments.
