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BrainQN: Enhancing the Robustness of Deep Reinforcement Learning with Spiking Neural Networks

As the third‐generation network succeeding artificial neural networks (ANNs), spiking neural networks (SNNs) offer high robustness and low energy consumption. Inspired by biological systems, the limitations of low robustness and high‐power consumption in deep reinforcement learning (DRL) are address...

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Principais autores: Shuo Feng, Jian Cao, Zehong Ou, Guang Chen, Yi Zhong, Zilin Wang, Juntong Yan, Jue Chen, Bingsen Wang, Chenglong Zou, Zebang Feng, Yuan Wang
Formato: Artigo
Idioma:Inglês
Publicado em: Wiley 2024-09-01
coleção:Advanced Intelligent Systems
Assuntos:
deep reinforcement learning
efficiency
neuromorphic chips
robustness
spiking neural networks
Acesso em linha:https://doi.org/10.1002/aisy.202400075
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