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Takehiro Habara

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Articles

Reducing spiking neural network inference latency for behavior cloning with input adaptive leakage

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By Takashi Sato, Hiromitsu Awano, Takehiro Habara
| Nature Verified
Abstract Behavior cloning enables efficient imitation of complex human skills from a limited number of demonstrations. However, artificial neural networks (ANNs), which are commonly employed for policy learning, suffer from their high computational demands and energy consumption. Spiking neural networks (SNNs) offer a promising alternative because of their event-driven and energy-efficient characteristics.
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