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The
Brainstormers are a team of 11 computer programs, that each control a
simulated robot on a virtual playfield. The simulated robots share a
lot of features with their real hardware colleagues (see the Brainstormers Tribots' site)
- for example restricted view, restricted moving capabilities,
restricted ressources - but they have the big advantage to be much
cheaper and much less sensible to damages. Therefore, the simulator
league teams can concentrate on the development of control software.
Robotic
Soccer represents an excellent testbed for Machine Learning and,
particularly, for Reinforcement Learning tasks. The scientific goal of
our team is to use Machine Learning techniques - in particular
Reinforcement Learning methods - to develop the players' control
programs. So, from a learning point of view it is also our long-term
goal to realise an agent that obtains its behaviour by entirely
employing a Reinforcement Learning methodology.
You can find out about some steps we have taken into that direction in our Research and Publications
sections. The Brainstormers have become multiple vice World Champion
and World Champion during the RoboCup torunament 2005 in Osaka as well
as 2007 in Atlanta. Read more about our competition results in the Contests section.
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