This site is currently under development for the RSE-ops community.

Novel Deep Learning Framework Includes New Repo

Published:

Reading time: 1 min

LLNL computer scientists have developed a new framework and an accompanying visualization tool that leverages deep reinforcement learning for symbolic regression problems, outperforming baseline methods on benchmark problems. The paper was recently accepted as an oral presentation at the International Conference on Learning Representations (ICLR 2021), one of the top machine learning conferences in the world. The conference takes place virtually May 3-7, and the team’s deep symbolic regression code is available in the deep-symbolic-regression GitHub repo.