Contact
Hoe winkelen bij ons werkt
Bezorging
Winkelgids
Engels
195 b
Retourneren binnen 30 dagen
Klanten kochten ook
/
Gebonden (paperback)
12.85
€
/
Gebonden (paperback)
26.53
€
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.
Informatie over het boek
Engels
Geef dit boek vandaag nog cadeau
Dat gaat heel eenvoudig
1 Voeg het boek toe aan je winkelwagentje en selecteer Als cadeau bezorgen 2 Je krijgt van ons per omgaand een voucher 3 Het boek wordt bezorgd op het adres van de ontvangerDit vind je misschien ook interessant
/
Gebonden (harde band)
206.00
€
/
Gebonden (paperback)
12.65
€
/
Gebonden (paperback)
15.59
€
/
Gebonden (paperback)
19.13
€
/
Gebonden (paperback)
67.24
€
