Contact
How to shop
Delivery
Shopping guide
Deep Reinforcement Learning for Wireless Networks
English
150 b
Up to 30 days for returns
Customers also purchased
/
Paperback
29.34
€
/
Paperback
35.60
€
This Springerbrief presents a deep reinforcement learning approach to wireless systems to improve system performance. Particularly, deep reinforcement learning approach is used in cache-enabled opportunistic interference alignment wireless networks and mobile social networks. Simulation results with different network parameters are presented to show the effectiveness of the proposed scheme. There is a phenomenal burst of research activities in artificial intelligence, deep reinforcement learning and wireless systems. Deep reinforcement learning has been successfully used to solve many practical problems. For example, Google DeepMind adopts this method on several artificial intelligent projects with big data (e.g., AlphaGo), and gets quite good results.. Graduate students in electrical and computer engineering, as well as computer science will find this brief useful as a study guide. Researchers, engineers, computer scientists, programmers, and policy makers will also find this brief to be a useful tool.
About the book
English
Give this book today
It's easy
1 Add to cart and choose Deliver as present at the checkout 2 We'll send you a voucher 3 The book will arrive at the recipient's addressYou might also be interested in
/
Paperback
37.92
€
/
Paperback
14.41
€
/
Paperback
10.28
€
/
Sheet
163.29
€
Hi! I'm Libroamiko, your book advisor.
How can I help you?