Speeding - Up Adaptive Heuristic Critic
نویسنده
چکیده
Neurocontrol is a crucial area of fundamental research within the neural network eld. Adaptive Heuristic Critic learning is a key algorithm for real time adaptation in neurocontrollers. In this paper we present how an unsupervised neural network model with adaptable structure can be used to speed-up Adaptive Heuristic Critic learning, its FPGA design , and how it adapts the neurocontroller to the state space of the system being controlled.
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