Research of Adaptive Program Design Algorithm Based on Agent

The current computer program is artificially designed to execute the process, which has the weakness of passivity, rigidity and lack of flexibility. This paper proposes a method of program design based on reinforcement learning mechanism, and realizes the corresponding algorithm. According to the environment and requirements, the agent can choose executive process independently and arrive at the optimal result by learning, realize the layered calls. Using this method, the executing program is decisionmaking, has a way to realize the adaption, and reduces the dependence on designer. The result shows that the method can achieve satisfactory execution efficiency.