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Alpha (machine learning): Artificial Intelligence, Q- Learning, SARSA -

English
2026-03-17
€156.58 €195.73

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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Alpha (¿) is a parameter used in artificial intelligence to specify how much weight will be given to new information. An alpha value might be expressed in the range between 0 and 1. A value of 0 means that the agent completely ignores any new information, while a value of 1 means i ... Full description

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Description

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Alpha (¿) is a parameter used in artificial intelligence to specify how much weight will be given to new information. An alpha value might be expressed in the range between 0 and 1. A value of 0 means that the agent completely ignores any new information, while a value of 1 means it only remembers the latest piece of information. A typical equation detailing the weighting role of alpha might be: new_policy = (historical_data * (1 - ¿)) + (new_data * ¿) It is used in Q-learning and SARSA, which is closely related.

More Information

Publisher OmniScriptum
Release year 2026
Cover type Softcover
EAN 9786131367779
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€156.58 €195.73