Research on Multi-Stage Decision Optimization Based on Monte Carlo Simulation and Deep Q-Network Algorithm

This paper presents a comprehensive study on multi-stage decision optimization leveraging Monte Carlo simulation and Deep Q-Network (DQN) algorithms. We integrate Monte Carlo simulation with sequential sampling, progressively drawing samples and dynamically calculating the log-likelihood ratio to de...

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Veröffentlicht in:	2025 International Conference on Electrical Drives, Power Electronics & Engineering (EDPEE) S. 964 - 971
Hauptverfasser:	Chen, Make, Geng, Haitian, Li, Jingran
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 26.03.2025
Schlagworte:	Bayes methods Bayesian optimization Costs Decision making Deep Q-Network algorithm Heuristic algorithms Inspection Monte Carlo methods Monte Carlo simulation Optimization Process control Production Quality control
Online-Zugang:	Volltext
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