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Cooperative Multi-Agent Reinforcement Learning for Multi-Component Robotic Systems: guidelines for future research

✍ Scribed by Manuel Graña; Borja Fernandez-Gauna; Jose Manuel Lopez-Guede


Book ID
111493228
Publisher
SP Versita
Year
2011
Tongue
English
Weight
359 KB
Volume
2
Category
Article
ISSN
2080-9778

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In a multi-agent system, action selection is important for the cooperation and coordination among agents. As the environment is dynamic and complex, modular Q-learning, which is one of the reinforcement learning schemes, is employed in assigning a proper action to an agent in the multi-agent system.