Spiking Neural Network Discovers Energy-Efficient Hexapod Motion in Deep Reinforcement Learning
In Deep Reinforcement Learning (DRL) for robotics application, it is important to find energy-efficient motions. For this purpose, a standard method is to set an action penalty in the reward to find the optimal motion considering the energy expenditure. This method is widely used for the simplicity...
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Formato: | article |
Lenguaje: | EN |
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IEEE
2021
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Acceso en línea: | https://doaj.org/article/335681a7613746e5a4b027d670d343bf |
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