A Survey on Quantum Reinforcement Learning

arXiv:2211.03464v2 Announce Type: replace-cross
Abstract: Quantum reinforcement learning is an emerging field at the intersection of quantum computing and machine learning. While we intend to provide a broad overview of the literature on quantum reinforcement learning - our interpretation of this term will be clarified below - we put particular emphasis on recent developments. With a focus on already available noisy intermediate-scale quantum devices, these include variational quantum circuits acting as function approximators in an otherwise classical reinforcement learning setting. …

abstract arxiv computing cs.lg interpretation intersection literature machine machine learning overview quant-ph quantum quantum computing reinforcement reinforcement learning survey type will