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)
- This work awarded the Xanadu AI software competition 2019 research track first prize. News
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
pennylane
pytorch
matplotlib
qiskit
gym
numpy
- OpenAI Frozen Lake (please also refer to the parameters )
python Code/QML_DQN_FROZEN_LAKE.py
- Cognitive Radio Game (network-simulator 3 style)
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}
}