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A reinforcement learning method based on adaptive simulated annealing

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  • A.F. Atiya & A.G. Parlos & L. Ingber, 2003. "A reinforcement learning method based on adaptive simulated annealing," Lester Ingber Papers 03rl, Lester Ingber.
    • Handle: RePEc:lei:ingber:03rl
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    1. L. Ingber, 1989. "Very fast simulated re-annealing," Lester Ingber Papers 89vf, Lester Ingber.
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    Cited by:

    1. L. Ingber, 2006. "Ideas by statistical mechanics (ISM)," Lester Ingber Papers 06is, Lester Ingber.
    2. L. Ingber, 2018. "Quantum Variables in Finance and Neuroscience," Lester Ingber Papers 18qv, Lester Ingber.
    3. L. Ingber, 2021. "Forecasting COVID-19 with importance-sampling and path-integrals," Lester Ingber Papers 21fc, Lester Ingber.
    4. L. Ingber, 2022. "Quantum Variables in Finance," Lester Ingber Papers 22qv, Lester Ingber.
    5. L. Ingber, 2020. "Forecasting with importance-sampling and path-integrals: Applications to COVID-19," Lester Ingber Papers 20fi, Lester Ingber.
    6. L. Ingber, 2018. "Model of Models (MOM)," Lester Ingber Papers 18mo, Lester Ingber.
    7. Cheng-Ming Lee & Chia-Nan Ko, 2016. "Short-Term Load Forecasting Using Adaptive Annealing Learning Algorithm Based Reinforcement Neural Network," Energies, MDPI, vol. 9(12), pages 1-15, November.
    8. L. Ingber, 2012. "Adaptive simulated annealing," Lester Ingber Papers 12as, Lester Ingber.
    9. L. Ingber, 2018. "Quantum calcium-ion interactions with EEG," Lester Ingber Papers 18qc, Lester Ingber.

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