Chaohui Lin

HSRL: A Hierarchical Control System Based on Spiking Deep Reinforcement Learning for Robot Navigation

Reinforcement Learning (RL) has shown promise in robotic navigation tasks, yet applying it to real-world environments remains challenging due to dynamic complexities and the need for dynamically feasible actions. We propose a hierarchical control framework based on Spiking Deep Reinforcement Learnin