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
Juni 2020, ca. 206 Seiten, Chapman & Hall/CRC Machine Learning & Pattern Recognition, Englisch
Taylor and Francis
978-0-367-57586-1
Taylor and Francis
978-0-367-57586-1
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
Juni 2020, ca. 206 Seiten, Chapman & Hall/CRC Machine Learning & Pattern Recognition, Englisch
Taylor and Francis
978-0-367-57586-1
Taylor and Francis
978-0-367-57586-1
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