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Deep reinforcement learning hands-on / Maxim Lapan

By: Material type: TextTextPublication details: India Packt 2018Description: 523 pISBN:
  • 9781788834247
Subject(s): DDC classification:
  • 006.31 LAP-M
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Holdings
Item type Current library Collection Shelving location Call number Status Date due Barcode Item holds
Books Books BITS Pilani Hyderabad 003-007 General Stack (For lending) 006.31 LAP-M (Browse shelf(Opens below)) Available 40376
Total holds: 0

Deep Reinforcement Learning Hands-On is a comprehensive guide to the very latest DL tools and their limitations. You will evaluate methods including Cross-entropy and policy gradients, before applying them to real-world environments. Take on both the Atari set of virtual games and family favourites such as Connect4.

The book provides an introduction to the basics of RL, giving you the know-how to code intelligent learning agents to take on a formidable array of practical tasks. Discover how to implement Q-learning on 'grid world' environments, teach your agent to buy and trade stocks, and find out how natural language models are driving the boom in chatbots.

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