Tutorial Educating Developer of Reinforcement Learning Agent Using IDEAL
In recent years, network service users have requested various services along with the rapid development of network services. Agent-oriented computing methods provide a flexible system that responds to various service requests. Moreover, agents can study the best action from results of past actions through “Learning” skill. Nevertheless, training agent system developers to have the development skill of “Learning” agent takes a long time and great effort. As a solution to this difficulty, we propose a tutorial for training agent system developers to have the development skill of “Learning” agent. Then we verify the effectiveness of the tutorial through experimentation.
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