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Is your feature request related to a problem? Please describe.
grSim is a very slow and time based low level simulator. This makes it very slow to test play decision making and would make machine learning very difficult.
Describe the solution you'd like
A high level simulator would enable us to make it frame based and also way faster. This will in turn enable us to do easy machine learning.
Describe alternatives you've considered
The ideal way would be to just use the Tigers simulator, but given their definition of open source, this will also be very difficult.
The text was updated successfully, but these errors were encountered:
@JAndringa Why is it difficult to use the Tigers simulator? I believe they literally open sourced their code of previous years, including their simulator, on their webpage?
Regardless, it may be easier/better to simply write your own (in C++ rather than Java), as this will be a lot faster. Feel free to ask for help with the physics if you need it.
as far as I know (and could find) Tigers has only open sourced their auto referee. Their simulator is built into their framework so that we can only use it with their AI and not ours.
Is your feature request related to a problem? Please describe.
grSim is a very slow and time based low level simulator. This makes it very slow to test play decision making and would make machine learning very difficult.
Describe the solution you'd like
A high level simulator would enable us to make it frame based and also way faster. This will in turn enable us to do easy machine learning.
Describe alternatives you've considered
The ideal way would be to just use the Tigers simulator, but given their definition of open source, this will also be very difficult.
The text was updated successfully, but these errors were encountered: