Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about. (For more background, check out our first flowchart ...

Overall, both reinforcement learning and evolutionary algorithms are powerful tools for training AI models and have contributed to significant advancements in the field of artificial intelligence.

Machine Learning (ML) algorithms serve as the cornerstone of data science, providing essential tools for processing and deriving meaningful insights from extensive data sets.As the year 2024 ...

Amid the global push for sustainable development, rising market demands have necessitated a multiregional, multiobjective, and flexible production model. Against this backdrop, this article ...

Reinforcement learning is commonly done in simulation: a virtual doppelgänger of the robot flails around a virtual doppelgänger of the environment until the algorithm is robust enough to operate ...

Citation: Sun Z, Zeng Y, Yuan T, Chen X, Wang H and Ma X (2022) Comprehensive Analysis and Reinforcement Learning of Hypoxic Genes Based on Four Machine Learning Algorithms for Estimating the Immune ...