A comparison of adaptive critic and chemotaxis methods in adaptive control
Mathematical and Computer Modelling: An International Journal
Basis function-based adaptive critic learning and its learning parameters selection
Mathematical and Computer Modelling: An International Journal
Neurocontrol: A literature survey
Mathematical and Computer Modelling: An International Journal
Reinforcement Learning with Reward Shaping and Mixed Resolution Function Approximation
International Journal of Agent Technologies and Systems
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A technique that integrates the cerebellar model articulation controller (CMAC) into a self-learning control scheme developed by A.G. Barto et al. (IEEE Trans. Syst. Man., Cybern., vol.SMC-13, p.834-46, Sept./Oct. 1983) is presented. Instead of reserving one input line (as a memory) for each quantized state, the integrated technique distributively stores learned information; this reduces the required memory and makes the self-learning control scheme applicable to problems of larger size. CMAC's capability with regard to information interpolation also helps improve the learning speed