Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.
NEWS We start a non-commericial interview series: a first talk with Sam and his experience working VQC-DRL since 2018.
Feel free to check the videos, if you are interested in the stories behind. Part 1 Video and Part 2 Video.
This is the numerical code for the article: \
Variational Quantum Circuits for Deep Reinforcement Learning (first released in Aug. 2019)
We also sincerely thank the supports from Xanadu AI to provide PennyLane, which is a great value to the quantum AI community.
with pip/conda install
pennylanepytorchmatplotlibqiskitgymnumpy
python Code/QML_DQN_FROZEN_LAKE.py
python Code/QML_DQN_NS3.py
If you find this work helps your research or use the code, please consider to cite our official reference. Thank you.
@article{chen2020variational,title={Variational quantum circuits for deep reinforcement learning},author={Chen, Samuel Yen-Chi and Yang, Chao-Han Huck and Qi, Jun and Chen, Pin-Yu and Ma, Xiaoli and Goan, Hsi-Sheng},journal={IEEE Access},year={2020},publisher={IEEE}}