Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...

Abstract: Amidst the intricate and dynamic marine environment, the conventional PID control paradigm struggles to fulfill the stringent precision requirements for underwater vehicles. Consequently, ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

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Abstract: With the development of Industry 5.0 related technologies, optimization algorithms and digital twin (DT) technology are increasingly being applied to industrial sites. For example, ...

Connect the external learning algorithm to the Hippo Gym product. Implement methods to send data from Hippo Gym to the external algorithm. Receive data from the external algorithm and incorporate it ...