Reinforcement learning for single-agent to multi-agent systems: from basic theory to industrial application progress, a survey

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Detaylı Bibliyografya
Yayımlandı:	The Artificial Intelligence Review vol. 59, no. 2 (Feb 2026), p. 46
Yazar:	Zhang, Dehua
Diğer Yazarlar:	Yuan, Qingsong, Meng, Lei, Xia, Ruixue, Liu, Wei, Qin, Chunbin
Baskı/Yayın Bilgisi:	Springer Nature B.V.
Konular:	Google DeepMind China Collaborative learning Deep learning Algorithms Cooperative learning Collaboration Brain research Reinforcement Machine learning Unmanned aerial vehicles Mapping Optimal control Cooperation Coherence Artificial intelligence Cooperative control Dynamic programming Optimization Frame analysis Industrial applications Interdisciplinary aspects Multiagent systems Research applications Information technology Paradigms Applied behavior analysis Agents
Online Erişim:	Citation/Abstract Full Text Full Text - PDF
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