Nav-Q: Quantum Deep Reinforcement Learning for Collision-Free Navigation of Self-Driving Cars

1 code implementation • 20 Nov 2023 • Akash Sinha, Antonio Macaluso, Matthias Klusch

In this work, we propose Nav-Q, the first quantum-supported DRL algorithm for CFN of self-driving cars, that leverages quantum computation for improving the training performance without the requirement for onboard quantum hardware.

Descriptive reinforcement-learning +1