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Deep reinforced learning heuristic tested on spin-glass ground states: The larger picture

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  • Stefan Boettcher

    (Emory University)

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  • Stefan Boettcher, 2023. "Deep reinforced learning heuristic tested on spin-glass ground states: The larger picture," Nature Communications, Nature, vol. 14(1), pages 1-3, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-41106-y
    DOI: 10.1038/s41467-023-41106-y
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    References listed on IDEAS

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    1. Changjun Fan & Mutian Shen & Zohar Nussinov & Zhong Liu & Yizhou Sun & Yang-Yu Liu, 2023. "Searching for spin glass ground states through deep reinforcement learning," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    2. Pál, Károly F., 1996. "The ground state of the cubic spin glass with short-range interactions of Gaussian distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 233(1), pages 60-66.
    3. S. Boettcher, 2005. "Extremal optimization for Sherrington-Kirkpatrick spin glasses," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 46(4), pages 501-505, August.
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    Cited by:

    1. Changjun Fan & Mutian Shen & Zohar Nussinov & Zhong Liu & Yizhou Sun & Yang-Yu Liu, 2023. "Reply to: Deep reinforced learning heuristic tested on spin-glass ground states: The larger picture," Nature Communications, Nature, vol. 14(1), pages 1-4, December.

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