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{
"item_title" : "Statistical Reinforcement Learning",
"item_author" : [" Masashi Sugiyama "],
"item_description" : "Reinforcement learning (RL) is a framework for decision making in unknown environments based on a large amount of data. Several practical RL applications for business intelligence, plant control, and gaming have been successfully explored in recent years. Providing an accessible introduction to the field, this book covers model-based and model-f",
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Statistical Reinforcement Learning : Modern Machine Learning Approaches
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Overview
Reinforcement learning (RL) is a framework for decision making in unknown environments based on a large amount of data. Several practical RL applications for business intelligence, plant control, and gaming have been successfully explored in recent years. Providing an accessible introduction to the field, this book covers model-based and model-f
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Details
- ISBN-13: 9780367575861
- ISBN-10: 0367575868
- Publisher: CRC Press
- Publish Date: June 2020
- Dimensions: 9.1 x 6.1 x 0.5 inches
- Shipping Weight: 0.65 pounds
- Page Count: 206
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