Abstract: In the field of neuromorphic systems, Spiking Neural Networks (SNNs) present notable advantages in energy conservation and real-time learning. This paper proposes anefficient hardware design ...
Abstract: Reinforcement learning (RL) is a computational approach that trains agents in decision-making through iterative interaction with their environment. Despite RL's success in various sectors, ...
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