Evolutionary and Reinforcement Learning for GW Data Analysis: from Large Language Model to Global Fitting

Abstract

This talk connects two adaptive approaches to gravitational-wave analysis: LLM-informed evolutionary tree search for algorithm discovery, and reinforcement learning for global fitting. It discusses how search, optimization, and physical validation can work together in increasingly complex gravitational-wave data.

He Wang

Research Associate

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