Deep Reinforcement Learning Hands-On : :: SCD d'Orléans

Deep Reinforcement Learning Hands-On : A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF

Deep Reinforcement Learning Hands-On : A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF

Maxim Lapan delivers intuitive explanations and insights into complex reinforcement learning (RL) concepts, starting from the basics of RL on simple environments and tasks to modern, state-of-the-art methods. Key Features: Learn with concise explanations, modern libraries, and diverse applications f...

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Bibliografski detalji
Glavni autor:	Lapan, Maxim
Format:	Livre numérique
Jezik:	Anglais
Izdano:	Birmingham : Packt Publishing 2024. Paris : Cyberlibris
Online pristup:	Accès Université d'Orléans et IFPM
Bilješka:	Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781835882719.jpg Cyberlibris (ScholarVox) corpus Informatique
Autres localisations:	Voir dans le Sudoc
Edition sous un autre format:	• Deep Reinforcement Learning Hands-On, A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF, Maxim Lapan, Birmingham, Packt Publishing, 2024, 1 vol. (717 p.), 978-18-3588-270-2

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