A Neuroevolutionary Approach to Adaptive Multi-agent Teams-Reference-Cited by-同舟云学术

A Neuroevolutionary Approach to Adaptive Multi-agent Teams

Published:2018 Issue: Volume: Page:87-115
ISSN:2198-4182
Container-title:Foundations of Trusted Autonomy
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Author:

Bryant Bobby D.,Miikkulainen Risto

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-64816-3_5

Reference29 articles.

1. A. Agogino, K. Stanley, R. Miikkulainen, Online interactive neuro-evolution. Neural Process. Lett. 11, 29–38 (2000)

2. T. Balch, Behavioral Diversity in Learning Robot Teams. Ph.D. thesis, Georgia Institute of Technology, 1998. Technical Report GIT-CC-98-25

3. B.D. Bryant, Evolving Visibly Intelligent Behavior for Embedded Game Agents. Ph.D. thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 2006

4. B.D. Bryant, R. Miikkulainen, Neuroevolution for adaptive teams, in Proceeedings of the 2003 Congress on Evolutionary Computation (CEC 2003), vol. 3 (IEEE, Piscataway, NJ, 2003), pp. 2194–2201

5. B.D. Bryant, R. Miikkulainen, Evolving stochastic controller networks for intelligent game agents, in Proceedings of the 2006 Congress on Evolutionary Computation (CEC 2006) (IEEE, Piscataway, NJ, 2006), pp. 3752–3759

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