Alpha (machine learning)
Versandkostenfrei!
Versandfertig in 6-10 Tagen
22,99 €
inkl. MwSt.
PAYBACK Punkte
11 °P sammeln!
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-learn...
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.
