Proceedings of the International Work - Conference on Arti cial and

نویسنده

  • Eduardo Sanchez
چکیده

This paper presents a hardware-friendly approach for adapting the structure of a reinforcement, learning-based neurocontroller. An unsupervised clustering algorithm is used to partition the state space of a system and to adapt the size of its reinforcement module. In the well-known inverted pendulum problem, the system has proven to be much faster than previous neurocontroller approaches. We are currently working on an implementation of the system using eld-programmable logic devices.

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تاریخ انتشار 1997