The Diagnostic Window Bottleneck: Neurologists rely heavily on EEGs to diagnose epilepsy, but standard clinical sessions provide only a 20-minute snapshot of brain activity, making manual detection ...

By Ashoka Mukpo The 2026 Bundibugyo Ebola outbreak in Central and East Africa has already left at least 49 people dead, with ...

Summary: A paradigm-shifting study has upended a decades-long neurological assumption that learning speed depends entirely on repetition and experience rather than the size of a reward. The research ...

Abstract: In this article, a novel model-free dynamic inversion-based Q-learning (DIQL) algorithm is proposed to solve the optimal tracking control (OTC) problem of unknown nonlinear input-affine ...

Abstract: Machine learning is very important in several fields ranging from control systems to data mining. This paper presents Q — Learning implementation for abstract graph models with maze solving ...

Reinforcement Learning - An Introduction, 2nd Edition, written by Richard S. Sutton and Andrew G. Barto, is kind of bible of reinforcement learning. It is a required reading for students and ...

Sichkar V. N. "Reinforcement Learning Algorithms in Global Path Planning for Mobile Robot", 2019 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), Sochi, ...

An internal Facebook report found that the social media platform’s algorithms – the rules its computers follow in deciding the content that you see – enabled disinformation campaigns based in Eastern ...

Aiming at the dimension disaster problem, poor model generalization ability and deadlock problem in special obstacles environment caused by the increase of state information in the local path planning ...