Evolutionary and Reinforcement Learning Approaches for GW Data Analysis
Abstract
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.
Date
Jan 27, 2026 12:00 AM
