Skip to content

Booksellers & Trade Customers: Sign up for online bulk buying at trade.atlanticbooks.com for wholesale discounts

Booksellers: Create Account on our B2B Portal for wholesale discounts

Insight of DeepMind Learning: Journey of transformation from Natural Intelligence to Artificial Intelligence

by MD Sadique Shaikh
Save 14% Save 14%
Current price ₹3,237.00
Original price ₹3,773.00
Original price ₹3,773.00
Original price ₹3,773.00
(-14%)
₹3,237.00
Current price ₹3,237.00

Imported Edition - Ships in 18-21 Days

Free Shipping in India on orders above Rs. 500

Request Bulk Quantity Quote
+91
Book cover type: Paperback
  • ISBN13: 9781636480664
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Eliva Press
  • Publisher Imprint: Eliva Press
  • Publication Date:
  • Pages: 62
  • Original Price: USD 38.5
  • Language: English
  • Edition: N/A
  • Item Weight: 96 grams
  • BISAC Subject(s): Artificial Intelligence / General

Deep reinforcement learning has rapidly become one of the hottest research areas in the deep learning ecosystem. The fascination with reinforcement learning is related to the fact that, from all the deep learning modalities, is the one that resemble the most how humans learn. In the last few years, no company in the world has done more to advance the stage of deep reinforcement learning than Alphabet's subsidiary DeepMind. Since the launch of its famous AlphaGo agent, DeepMind has been at the forefront of reinforcement learning research. A few days ago, they published a new research that attempts to tackle one of the most challenging aspects of reinforcement learning solutions: multi-tasking. Since we are infants, multi-tasking becomes an intrinsic element of our cognition. The ability to performing and learning similar tasks concurrently is essential to the development of the human mind. From the neuroscientific standpoint, multi-tasking remains largely a mystery and that, not surprisingly, we have had a heck of hard time implementing artificial intelligence (AI) agents that can efficiently learn multiple domains without requiring a disproportional amount of resources. This challenge is even more evident in the case of deep reinforcement learning models that are based on trial and error exercises which can easily cross the boundaries of a single domain. Biologically speaking, you can argue that all learning is a multi-tasking exercise. This monograph introduces you with DeepMind learning.

Trusted for over 49 years

Family Owned Company

Secure Payment

All Major Credit Cards/Debit Cards/UPI & More Accepted

New & Authentic Products

India's Largest Distributor

Need Support?

Whatsapp Us