Academic Journal
Multiagent Learning through Neuroevolution. Advanced Analytics
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 |
الوصف غير متاح. |