Published August 28, 2022
| Version v1
Software
Open
Reproduction Package for "Uncovering instabilities in variational-quantum deep Q-networks"
Creators
- 1. Technical University of Applied Sciences, Regensburg
- 2. Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, Division Positioning and Networks, Nuremberg, Germany
Description
- Pre-built docker image for GPU (quantum_rl_img_gpu.tar.bz2)
- Pre-built docker image for CPU-only (quantum_rl_img_cpu.tar.bz2)
- Git repository archive (quantum_rl.tar.bz2)
for reproducing the results of
Uncovering Instabilities in Variational-Quantum Deep Q-Networks
Maja Franz, Lucas Wolf, Maniraman Periyasamy, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Wolfgang Mauerer
Journal of The Franklin Institute. Elsevier (Open Access). 2022.
Files
Files
(9.7 GB)
| Name | Size | Download all |
|---|---|---|
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md5:cc32589aa091f5c2ca8fffa731070ffe
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1.9 MB | Download |
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md5:34a193b5688da8355c4d18b9cc432577
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2.9 GB | Download |
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md5:dd98049d517e55a4f9b9cb12dbbd2941
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6.8 GB | Download |
Additional details
Related works
- Is described by
- Software: https://github.com/lfd/quantum-rl (URL)
- Is referenced by
- Preprint: https://arxiv.org/abs/2202.05195 (URL)
- Journal article: https://www.sciencedirect.com/science/article/pii/S0016003222005725?via%3Dihub (URL)