Artificial reinforcement learning is just one lens to evaluate organizations. However, this thought experiment taught me that ...
jobshop_scheduling/ ├── data/ # Job shop instance files │ ├── jobshop1.txt # OR-Library instances (abz, ft, la, orb, etc.) │ └── jobshop2.txt ...
Landlords could no longer rely on rent-pricing software to quietly track each other's moves and push rents higher using confidential data, under a settlement between RealPage Inc. and federal ...
Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn hidden patterns from various types of data, be it images, audio or text, to ...
Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...
Abstract: The effectiveness and flexibility of greedy algorithms are comprehensively explored and proven in the current study, with an analysis of application examples in a series of optimization ...
It has been proven that robot-assisted rehabilitation training can effectively promote the recovery of upper-limb motor function in post-stroke patients. Increasing patients’ active participation by ...
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