Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design

1 code implementation • 20 Mar 2022 • Won Joon Yun, Yunseok Kwak, Jae Pyoung Kim, Hyunhee Cho, Soyi Jung, Jihong Park, Joongheon Kim

This paper extends and demonstrates the QRL to quantum multi-agent RL (QMARL).

Multi-agent Reinforcement Learning reinforcement-learning +1

Quantum Distributed Deep Learning Architectures: Models, Discussions, and Applications

no code implementations • 19 Feb 2022 • Yunseok Kwak, Won Joon Yun, Jae Pyoung Kim, Hyunhee Cho, Minseok Choi, Soyi Jung, Joongheon Kim

Although deep learning (DL) has already become a state-of-the-art technology for various data processing tasks, data security and computational overload problems often arise due to their high data and computational power dependency.