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

Anglų
2026-03-17
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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 ... Visas aprašymas

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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 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.

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Leidėjas OmniScriptum
Išleidimo metai 2026
Viršelio tipas Minkšti viršeliai
EAN 9786131367779
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146,80 € 195,73 €