Adaptive Broom Balancer

Parameters

110

Published

Jul 24, 1988

Adaptive Broom Balancer is an AI model developed by Stanford University (United States), first published in July 1988. It works in the games domain, on tasks such as pole balancing.

Epoch AI has no training-compute estimate for this model. The model has 110 parameters.

The reference paper has 80 citations.

Full record

Organization: Stanford University
Country of organization: United States
Domain: Games
Task: Pole balancing
Parameters: 110
Citations: 80