𝔖 Bobbio Scriptorium
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Human–Robot Cooperation Using Multi-Agent-Systems

✍ Scribed by T. Längle; H. Wörn


Book ID
110325402
Publisher
Springer Netherlands
Year
2001
Tongue
English
Weight
196 KB
Volume
32
Category
Article
ISSN
0921-0296

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Modular Q-learning based multi-agent coo
✍ Kui-Hong Park; Yong-Jae Kim; Jong-Hwan Kim 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 532 KB

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.