The novel traveling exhibition opens to the public for the first time ever in Heidelberg beginning on January 29, 2022 @ MAINS.
Reinforcement Learning
Programm
Licenses
Source code
Autoren
IMAGINARY
Mitwirkende
Unterstützt durch
Carl Zeiss Foundation
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An AI that uses Reinforcement Learning learns through trial and error by directly interacting with its environment. It’s similar to how humans and animals learn.
The exhibit offers three different panels in which a robot tries to find its way through a maze. You can help it learn through placing rewards and also change its Exploration:Exploitation ratio. Create your own mazes and the robot will slowly learn to find the exit and to avoid dangerous areas. Experiment with leaving bonus rewards on their way to reinforce certain paths.
