PhySO
PhySO harnesses deep reinforcement learning to enhance symbolic regression in physics, focusing on dimensional analysis and class constraints. It performs reliably in noisy conditions and is validated on benchmarks such as SRBench. PhySO's design emphasizes efficiency with minimal dependencies, and its integration guides facilitate easy setup in various computational environments.
