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

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Publicado en:The Artificial Intelligence Review vol. 59, no. 2 (Feb 2026), p. 46
Autor principal: Zhang, Dehua
Otros 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
Acceso en línea:Citation/Abstract
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