Alpha (α) 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. Hondas humanoid robot AI redirects here. ...

A typical equation detailing the weighting role of alpha might be:

 new_policy = (historical_data * (1 - α)) + (new_data * α) 

It is used in Q-learning. Q-learning is a reinforcement learning technique that works by learning an action-value function that gives the expected utility of taking a given action in a given state. ...