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

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Detalles Bibliográficos
Publicado en:	The Artificial Intelligence Review vol. 59, no. 2 (Feb 2026), p. 46
Autor Principal:	Zhang, Dehua
Outros autores:	Yuan, Qingsong, Meng, Lei, Xia, Ruixue, Liu, Wei, Qin, Chunbin
Publicado:	Springer Nature B.V.
Materias:	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
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