NEURAL NETWORK DEVICE FOR SELECTING ACTION CORRESPONDING TO CURRENT STATE BASED ON GAUSSIAN VALUE DISTRIBUTION AND ACTION SELECTING METHOD USING THE NEURAL NETWORK DEVICE
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United States of America
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Apr 10, 2025
app pub date -
Dec 17, 2024
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Dec 17, 2024
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Abstract
A neural network device and an action selecting method using the same, which select an action corresponding to a current state on the basis of a value return. A method of selecting, executed by at least one processor, an action on the basis of deep learning includes receiving a current state as an input, calculating a value distribution corresponding to each of a plurality of actions to be performed on the current state, and selecting an optimal action from among the plurality of actions based on the value distribution, wherein the value distribution includes at least one Gaussian graph following a Gaussian distribution.
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