Spiking Reinforcement Learning with Memory Ability for Mapless Navigation
Bo Yang,Mengwen Yuan,Chengjun Zhang,Chaofei Hong,Gang Pan,Huajin Tang,Bo Yang,Mengwen Yuan,Chengjun Zhang,Chaofei Hong,Gang Pan,Huajin Tang
Our study focuses on mapless navigation in robotics, which involves navigating without an established obstacle map of the environment. Spiking Neural Networks (SNNs) have recently been applied to this task using Deep Reinforcement Learning (DRL), but face challenges in dynamic and partially observable environments, as well as inaccuracies in transmitted data. To overcome these issues, we propose a...
