Academic Journal

Multiagent Learning through Neuroevolution. Advanced Analytics

التفاصيل البيبلوغرافية
العنوان: Multiagent Learning through Neuroevolution. Advanced Analytics
المؤلفون: Risto Miikkulainen, Eliana Feasley, Leif Johnson, Igor Karpov, Padmini Rajagopalan, Aditya Rawal, Wesley Tansey
المساهمون: The Pennsylvania State University CiteSeerX Archives
المصدر: http://www.cs.utexas.edu/~leif/pubs/miikkulainen.wcci12.pdf.
سنة النشر: 2012
المجموعة: CiteSeerX
مصطلحات موضوعية: Neuroevolution, neural networks, intelligent agents, games
الوصف: Neuroevolution is a promising approach for constructing intelligent agents in many complex tasks such as games, robotics, and decision making. It is also well suited for evolving team behavior for many multiagent tasks. However, new challenges and opportunities emerge in such tasks, including facilitating cooperation through reward sharing and communication, accelerating evolution through social learning, and measuring how good the resulting solutions are. This paper reviews recent progress in these three areas, and suggests avenues for future work.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.353.9624; http://www.cs.utexas.edu/~leif/pubs/miikkulainen.wcci12.pdf
الاتاحة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.353.9624
http://www.cs.utexas.edu/~leif/pubs/miikkulainen.wcci12.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
رقم الانضمام: edsbas.B9B927AF
قاعدة البيانات: BASE