Evolutionary and Reinforcement Learning Approaches for GW Data Analysis
He Wang Research Associate Knowledge increases by sharing but not by saving
Upcoming challenges such as MLGWSC2, currently at the proposal stage, provide a new testbed for exploring machine-learning–based approaches to gravitational-wave analysis. In this flash talk, I briefly introduce my core ideas and experience using evolutionary algorithms, Evo-MCTS, and reinforcement learning as adaptive search and optimization tools. I outline key methodological insights and discuss how these ideas may inform future GW analysis tasks, including potential applications to LISA.