Published March 15, 2022
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Performance analysis of a hybrid agent for quantum-accessible reinforcement learning
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Description
The present datasets, python script and notebook can be used to reproduce numerical results in the manuscript [1] (Fig. 2 and 3 in the Main Text). One can also use this notebook to generate new data, for different choices of hyperparameters.
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Additional details
Related works
- Is source of
- Journal article: 10.1088/1367-2630/ac5b56 (DOI)
Funding
- FWF Austrian Science Fund
- Quantum communication networks: design and applications P 30937
References
- Hamann, Arne and Wölk, Sabine (2022). Performance analysis of a hybrid agent for quantum-accessible reinforcement learning https://doi.org/10.1088/1367-2630/ac5b56