FPGA Implementation of a Network of Neuronlike Adaptive Elements
نویسندگان
چکیده
A well known model of reinforcement learning is called Adap-tive Heuristic Critic learning. It is composed of two so called \neuronlike adaptive elements" and has been used to solve diicult learning control problems. In this paper we present an FPGA design and implementation of such algorithm, and, furthermore, we describe a neurocontroller system composed of a network of neuronlike adaptive elements and an unsupervised clustering system called FAST, which dynamically partitions the input state space of the system being controlled.
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