Searching for New Physics with Reinforcement Learning
This paper introduces a reinforcement learning method that efficiently identifies Standard Model Effective Field Theory (SMEFT) operators capable of explaining particle physics anomalies, such as the CDF W-mass discrepancy, by overcoming the limitations of human bias and the vast complexity of the operator space.