Statistical Reinforcement Learning : Modern Machine Learning Approaches PDF
by Masashi Sugiyama
Part of the Chapman & Hall/CRC Machine Learning & Pattern Recognition series
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Description
Reinforcement learning is a mathematical framework for developing computer agents that can learn an optimal behavior by relating generic reward signals with its past actions.
With numerous successful applications in business intelligence, plant control, and gaming, the RL framework is ideal for decision making in unknown environments with large amo
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- Format:PDF
- Pages:206 pages
- Publisher:Taylor & Francis Ltd
- Publication Date:16/03/2015
- Category:
- ISBN:9781439856901
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Information
-
Download Now
- Format:PDF
- Pages:206 pages
- Publisher:Taylor & Francis Ltd
- Publication Date:16/03/2015
- Category:
- ISBN:9781439856901