This work improves Monte Carlo Tree Search for symbolic regression through an extreme bandit strategy and evolution-inspired state-jumping actions.

Graph-based symbolic regression that captures expression equivalences on graph representations and incorporate constrained search utilizing hybrid neural-guided Monte-Carlo tree search.