Cooperation learning in Multi-Agent Systems with annotation and reward
Tetsuya Yoshida · International Journal of Knowledge-based and Intelligent Engineering Systems · 2007
This paper proposes a novel approach for enabling agents to learn to cooperate each other based on annotation and reward in Multi-Agent Systems (MAS). We propose two methods toward cooperation learning in MAS: 1) a cooperation method, and 2) a learni