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 ...
Do you remember the early days of social media? The promise of connection, of democratic empowerment, of barriers crumbling and gates opening? In those heady days, the co-founder of Twitter said that ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We present an artificial intelligence-guided approach to design durable and chemically ...
Please provide your email address to receive an email when new articles are posted on . Inappropriately factoring race into clinical decisions risks worse care for patients from underrepresented ...
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, ...
Australian quantum startup Q-CTRL claims it has increased the likelihood of quantum computing algorithm success on hardware by over 1000 times, after it carried out its latest hardware benchmarking ...
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 ...
Genetic algorithms (GA) and machine learning (ML) have a long history of development and use in chemistry. Recent algorithmic and computational advances, however, have brought these methods to the ...
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