POLICY TRAINING DEVICE, POLICY TRAINING METHOD, AND COMMUNICATION SYSTEM
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United States of America Patent
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Mar 27, 2025
app pub date -
Aug 26, 2024
filing date -
Aug 26, 2024
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Abstract
A policy training device that trains, through first reinforcement learning, a first agent configured to output a first action of a control object according to an input of a first state of the control object, includes a memory, and processor circuitry coupled to the memory and configured to change a first parameter regarding a constraint condition in the first reinforcement learning for every predetermined number of times of a training operation in the first reinforcement learning, and train the first agent by using the first parameter as at least a part of the first state and by ensuring that the constraint condition is satisfied.
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