1 code implementation • 26 May 2023 • Wassim Tenachi, Rodrigo Ibata, Foivos I. Diakogiannis
New large observational surveys such as Gaia are leading us into an era of data abundance, offering unprecedented opportunities to discover new physical laws through the power of machine learning.
1 code implementation • 6 Mar 2023 • Wassim Tenachi, Rodrigo Ibata, Foivos I. Diakogiannis
Here we present $\Phi$-SO, a Physical Symbolic Optimization framework for recovering analytical symbolic expressions from physics data using deep reinforcement learning techniques by learning units constraints.