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Though deeply analyzing and comparing the mechanism of genetic algorithm and reinforcement learning, a novel algorithm for controlling genetic algorithms using reinforcement learning named SCGA, is proposed and analyzed theoretically. In the existing similar method RL-GA, a reinforcement learning agent uses Q(lambda)-learning to control genetic algorithms. Two problems with such method are that, (1)...
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