Natural gradient ascent in evolutionary games-Reference-Cited by-同舟云学术

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Natural gradient ascent in evolutionary games

Published:2024-02 Issue: Volume:236 Page:105127
ISSN:0303-2647
Container-title:Biosystems
language:en
Short-container-title:Biosystems

Author:

Jaćimović Vladimir

Publisher

Elsevier BV

Reference30 articles.

1. Theoretical foundation for CMA-ES from information geometry perspective;Akimoto;Algorithmica,2012

2. The Geometry of Population Genetics;Akin,1979

3. Natural gradient works efficiently in learning;Amari;Neural Comput.,1998

4. Relative entropy in biological systems;Baez;Entropy,2016

5. Convergence analysis of evolutionary algorithms that are based on paradigms of information geometry;Beyer;Evol. Comput.,2014

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1. Biological thermodynamics: Bridging the gap between physics and life;BioSystems;2024-08

2. An escort replicator dynamic with a continuous action space and its application to resource management;Chaos, Solitons & Fractals;2024-08

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