A reinforcement learning method based on adaptive simulated annealing
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- L. Ingber, 1989. "Very fast simulated re-annealing," Lester Ingber Papers 89vf, Lester Ingber.
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- L. Ingber, 2006.
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- L. Ingber, 2007. "Ideas by Statistical Mechanics (ISM)," Lester Ingber Papers 07ji, Lester Ingber.
- L. Ingber, 2018.
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- L. Ingber, 2018. "Quantum Variables in Finance and Neuroscience II," Lester Ingber Papers 18fn, Lester Ingber.
- L. Ingber, 2022.
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- L. Ingber, 2023. "Quantum variables in Finance," Lester Ingber Papers 23qf, Lester Ingber.
- L. Ingber, 2018. "Quantum calcium-ion interactions with EEG," Lester Ingber Papers 18qc, Lester Ingber.
- L. Ingber, 2021. "Forecasting COVID-19 with importance-sampling and path-integrals," Lester Ingber Papers 21fc, Lester Ingber.
- L. Ingber, 2020. "Forecasting with importance-sampling and path-integrals: Applications to COVID-19," Lester Ingber Papers 20fi, Lester Ingber.
- L. Ingber, 2018.
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- L. Ingber, 2019. "Model of Models (MOM)," Lester Ingber Papers 19mo, Lester Ingber.
- 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.
- L. Ingber, 2012. "Adaptive simulated annealing," Lester Ingber Papers 12as, Lester Ingber.
- Alok Dhaundiyal & Laszlo Toth, 2024. "Optimization of Torrefaction Parameters Using Metaheuristic Approach," Energies, MDPI, vol. 17(13), pages 1-18, July.
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NEP fields
This paper has been announced in the following NEP Reports:- NEP-CMP-2004-07-18 (Computational Economics)
- NEP-EVO-2003-09-24 (Evolutionary Economics)
- NEP-LAB-2004-07-18 (Labour Economics)
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