Potential analysis of a Quantum RL controller in the context of autonomous driving
Maya Hickmann, Arne Raulf, Frank Köster, Friedhelm Schwenker, Hans-Martin Rieser · 2023
The potential of quantum enhanced Q-learning with a focus on its applicability to a lane change manoeuvre is investigated.In this context we solve multiple simple reinforcement learning environments using variational quantum circuits.The achieved results were similar to or even better than those of a simple constrained classical agent.We could observe promising behaviour on the more complex lane change manoeuvre task, which has an environment with an observation vector size twice larger than commonly used ones.For the Frozen Lake environment we found indications of possible quantum advantages in convergence rate.