Abstract: This paper focuses on solving the linear quadratic regulator problem for discrete-time linear systems without knowing system matrices. The classical Q-learning methods for linear systems can ...

Large language models (LLMs) very often generate “hallucinations”—confident yet incorrect outputs that appear plausible. Despite improvements in training methods and architectures, hallucinations ...

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In case you've faced some hurdles solving the clue, Repetitive learning method, we've got the answer for you. Crossword puzzles offer a fantastic opportunity to engage your mind, enjoy leisure time, ...

1 Posgrado de la Facultad de Filosofía y Letras, Universidad Autónoma de Nuevo León, San Nicolás de los Garza, Mexico 2 Departamento de Informática y Automática, Instituto Universitario de Ciencias de ...

Artificial intelligence is advancing across a wide range of fields, with one of the most important developments being its growing capacity for reasoning. This capability could help AI becomes a ...

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...

Abstract: With extensive pretrained knowledge and high-level general capabilities, large language models (LLMs) emerge as a promising avenue to augment reinforcement learning (RL) in aspects, such as ...