Description: Deep Reinforcement Learning for Wireless Networks by F. Richard Yu, Ying He Estimated delivery 3-12 business days Format Paperback Condition Brand New Description This Springerbrief presents a deep reinforcement learning approach to wireless systems to improve system performance. Publisher Description 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. Details ISBN 3030105458 ISBN-13 9783030105457 Title Deep Reinforcement Learning for Wireless Networks Author F. Richard Yu, Ying He Format Paperback Year 2019 Pages 71 Edition 1st Publisher Springer Nature Switzerland AG GE_Item_ID:137845338; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 77.66 USD
Location: Fairfield, Ohio
End Time: 2024-12-21T03:28:18.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9783030105457
Type: NA
Publication Name: NA
Book Title: Deep Reinforcement Learning for Wireless Networks
Number of Pages: VIII, 71 Pages
Language: English
Publisher: Springer International Publishing A&G
Topic: Mobile & Wireless Communications, Intelligence (Ai) & Semantics, Telecommunications
Publication Year: 2019
Illustrator: Yes
Genre: Computers, Technology & Engineering
Item Weight: 16 Oz
Item Length: 9.3 in
Author: Ying He, F. Richard Yu
Item Width: 6.1 in
Book Series: Springerbriefs in Electrical and Computer Engineering Ser.
Format: Trade Paperback