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...
Gardado en:
| Autor Principal: | |
|---|---|
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado: |
Birmingham :
Packt Publishing
2024.
Paris : Cyberlibris |
| Acceso en liña: | Accès Université d'Orléans et IFPM |
| Nota: |
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 |