Global progress in competitive co-evolution: a systematic comparison of alternative methods

The usage of broad sets of training data is paramount to evolve adaptive agents. In this respect, competitive co-evolution is a widespread technique in which the coexistence of different learning agents fosters adaptation, which in turn makes agents experience continuously varying environmental cond...

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Bibliographic Details
Main Authors: Stefano Nolfi, Paolo Pagliuca
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Robotics and AI
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Online Access:https://www.frontiersin.org/articles/10.3389/frobt.2024.1470886/full
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