Contacto
Cómo comprar
Entrega
Guía de compras
Inglés
216 b
Hasta 30 días para devoluciones
Clientes que también han comprado
/
Tapa blanda
15.90
€
Reinforcement Learning: Theory and Python Implementation is a tutorial book on reinforcement learning, with explanations of both theory and applications. Starting from a uniform mathematical framework, this book derives the theory of modern reinforcement learning in a systematic way and introduces all mainstream reinforcement learning algorithms including both classical reinforcement learning algorithms such as eligibility trace and deep reinforcement learning algorithms such as PPO, SAC, and MuZero. Every chapter is accompanied by high-quality implementations based on the latest version of Python packages such as Gym, and the implementations of deep reinforcement learning algorithms are all with both TensorFlow 2 and PyTorch 1. All codes can be found on GitHub along with their results and are runnable on a conventional laptop with either Windows, macOS, or Linux. This book is intended for readers who want to learn reinforcement learning systematically and apply reinforcement learning to practical applications. It is also ideal to academical researchers who seek theoretical foundation or algorithm enhancement in their cutting-edge AI research.
Sobre el libro
Inglés
Regale este libro hoy
Es fácil
1 Añadir al carrito y elegir Entregar como regalo en el checkout 2 Le enviaremos un vale 3 El libro llegará a la dirección del destinatarioTambién puede interesarle
/
Tapa dura
28.89
€
/
Tapa blanda
12.69
€
/
Tapa dura
225.39
€
/
Tapa blanda
19.29
€
¡Hola! Soy Libroamiko, tu asesor de libros.
¿Cómo puedo ayudarte?