Listed python codes of our algorithm with explanations (Python 3.9 recommended). حسب Takayuki Niizato (162226)

Hyperparameter settings of the algorithm 1. حسب Jin Xu (31283)

"…Subsequently, a state space is selected, and a dense reward function is designed, considering the multivariable characteristics of the recirculating cooling water system. …"

Samples from IPPs with a mixture of squared exponential intensity function (<i>p</i> = 2). حسب M. Hassan Tanveer (9596437)

Training algorithm flow. حسب Xing Chen (140292)

"…<div><p>In daily life, two common algorithms are used for collecting medical disease data: data integration of medical institutions and questionnaires. …"

Inverse Design of Tetracene Polymorphs with Enhanced Singlet Fission Performance by Property-Based Genetic Algorithm Optimization حسب Rithwik Tom (6421487)

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Main parameters of braking system. حسب Honglei Pang (22693724)

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EMB and SBW system structure. حسب Honglei Pang (22693724)

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Raw data. حسب Honglei Pang (22693724)

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Code program. حسب Honglei Pang (22693724)

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The HIL simulation data flowchart. حسب Honglei Pang (22693724)

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Steering system model. حسب Honglei Pang (22693724)

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Hyperparameter Configurations in PPO Training. حسب Honglei Pang (22693724)

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Main parameters of steering system. حسب Honglei Pang (22693724)

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Co-simulation architecture. حسب Honglei Pang (22693724)

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Overall framework diagram of the study. حسب Honglei Pang (22693724)

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Braking system model. حسب Honglei Pang (22693724)

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Vehicle parameters. حسب Honglei Pang (22693724)

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Subjective image quality scores (<i>mean</i>±<i>std</i>) for different algorithms from a blind reader study. حسب Wonjin Kim (8129577)

IRBMO vs. meta-heuristic algorithms boxplot. حسب Chenyi Zhu (9383370)

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IRBMO vs. feature selection algorithm boxplot. حسب Chenyi Zhu (9383370)

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