Current state of reinforcement learning and future directions
Автор: Sharibaev A.N., Sharibaev R.N., Abdulazizov B.T., Tokhirzhonova M.R.
Журнал: Мировая наука @science-j
Рубрика: Основной раздел
Статья в выпуске: 6 (75), 2023 года.
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Reinforcement learning is an important branch of artificial intelligence that deals with how agents learn to make decisions based on rewards and punishments. This paper explores the history of the development of reinforcement learning in AI. The work includes a brief introduction to the field of artificial intelligence and various approaches to machine learning.
Artificial intelligence, algorithm development, reinforcement learning
Короткий адрес: https://sciup.org/140299450
IDR: 140299450