Księgarnia naukowa
English Polski
On-line access

Bookstore

0.00 PLN
Bookshelf (0) 
Your bookshelf is empty
Free access during pandemic


Deep Reinforcement Learning in Python

Deep Reinforcement Learning in Python

Authors
Publisher Addison Wesley Publishing Company
Year 01/01/2019
Edition First
Pages 360
Version paperback
Readership level Professional and scholarly
Language English
ISBN 9780135172384
Categories Databases, Artificial intelligence
$52.28 (with VAT)
202.50 PLN / €44.14 / £39.89
Qty:
Delivery to United States

check shipping prices
Product to order
Delivery 3-4 weeks
Add to bookshelf

Book description

In just a few years, deep reinforcement learning (DRL) systems such as DeepMinds DQN have yielded remarkable results. This hybrid approach to machine learning shares many similarities with human learning: its unsupervised self-learning, self-discovery of strategies, usage of memory, balance of exploration and exploitation, and its exceptional flexibility. Exciting in its own right, DRL may presage even more remarkable advances in general artificial intelligence. 

Deep Reinforcement Learning in Python: A Hands-On Introduction is the fastest and most accessible way to get started with DRL. The authors teach through practical hands-on examples presented with their advanced OpenAI Lab framework. While providing a solid theoretical overview, they emphasize building intuition for the theory, rather than a deep mathematical treatment of results. Coverage includes: 
  • Components of an RL system, including environment and agents
  • Value-based algorithms: SARSA, Q-learning and extensions, offline learning
  • Policy-based algorithms: REINFORCE and extensions; comparisons with value-based techniques
  • Combined methods: Actor-Critic and extensions; scalability through async methods
  • Agent evaluation
  • Advanced and experimental techniques, and more

Deep Reinforcement Learning in Python

We also recommend books

Strony www Białystok Warszawa
801 777 223