Method of training reinforcement learning agent for industrial process system, and system for training reinforcement learning agent for industrial process system

Abstract

To provide a method of training a reinforcement learning (RL) agent for an industrial process system.SOLUTION: A method according to the present invention has a step 110 of training a RL agent with using plant history data of an industrial process system, and a step 120 of re-training the RL agent with using the plant history data and a low-fidelity simulator of the industrial process system. The step 120 has a step 130 of analyzing the plant history data so as to discriminate a process state which was not searched during the training of the RL agent and a white spot as a region of dynamic behavior, and a step 140 of re-training the RL agent by searching with priority with using information obtained from the white spot and simulated data obtained by simulating the industrial process system by using the low-fidelity simulator.SELECTED DRAWING: Figure 1

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