2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2024
Noisy Spiking Actor Network for Exploration
Ding Chen, Peixi Peng, Tiejun Huang +1
As a general method for exploration in deep reinforcement learning (RL), NoisyNet can produce problem-specific exploration strategies. Spiking neural networks (SNNs), due to their…
cs.NE2024★ 2 cited
Fully Spiking Actor Network with Intra-layer Connections for Reinforcement Learning
Ding Chen, Peixi Peng, Tiejun Huang +1
With the help of special neuromorphic hardware, spiking neural networks (SNNs) are expected to realize artificial intelligence (AI) with less energy consumption. It provides a prom…