In this paper, we propose an extension to the intelligent exploration method which is introduced in our previous work. IEM is an intelligent exploration ...

Exploration/Exploitation equilibrium is one of the most challenging issues in reinforcement learning area as well as learning classifier systems such as XCS ...

IEM is an intelligent exploration method that is used to tune the exploration rate in XCS. In this paper we improve the IEM's performance using a learning fuzzy ...

Jun 25, 2005 · In this paper, an intelligent method is proposed to control the exploration rate in XCS to improve its long-term performance. This method is ...

The IEM is improved using a learning fuzzy controller instead of the static one in IEM to improve the IEM's performance. In this paper, we propose an ...

IEM is an intelligent exploration method that is used to tune the exploration rate in XCS. In this paper we improve the IEM's performance using a learning ...

This method is called Intelligent Exploration Method (IEM) and is applied to some benchmark problems to show advantages of adaptive exploration rate for XCS.

In this paper, an intelligent method is proposed to control the exploration rate in XCS to improve its long-term performance. This method is called Intelligent ...

Aug 28, 2020 · The XCSCR discriminates long-term and short-term rewards through four novel reward- assignment mechanisms: 1) A short-term reward mechanism.

The “identity” in cross-organization web service is defined as global identity rather than private identity from client. Global identity searching table ...