Quantum bayesian optimization

Z Dai, GKR Lau, A Verma, Y Shu… - Advances in Neural …, 2024 - proceedings.neurips.cc
Kernelized bandits, also known as Bayesian optimization (BO), has been a prevalent
method for optimizing complicated black-box reward functions. Various BO algorithms have …

Introducing Quantum Variational Circuit for Efficient Management of Common Pool Resources

M Shahid, MA Hassan - IEEE Access, 2023 - ieeexplore.ieee.org
Common Pool Resources (CPRs) pose a challenge to find balance between individual self-
interest and collective cooperation. The current state of art tries to solve the problem using …

Provably efficient exploration in quantum reinforcement learning with logarithmic worst-case regret

H Zhong, J Hu, Y Xue, T Li, L Wang - arXiv preprint arXiv:2302.10796, 2023 - arxiv.org
While quantum reinforcement learning (RL) has attracted a surge of attention recently, its
theoretical understanding is limited. In particular, it remains elusive how to design provably …