Q-SpiRL: Quantum Spiking Reinforcement Learning for Adaptive Robot Navigation

Adaptive robot navigation in dynamic environments requires policies that can reach the target reliably while producing efficient and stable trajectories. This paper presents Q-SpiRL, a quantum spiking reinforcement learning framework for obstacle-aware robot navigation. The framework develops and ev...