Takashi Sato

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

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 promisi...