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Thank you for pointing us to this environment, zdx3578 -- after our major update to ngc-learn and release of the first official version v1.0.0, we will look into using this environment for a walkthrough to demo how to construct a biophysical RL control model!
[FYI: there are also plans for a sister library to ngc-learn that will support testing in RL control environments, particularly in support of active inference process theory, so please keep your eyes open for such announcements in the coming months.]
Your interest in and use of ngc-learn is very much appreciated!
https://github.com/jurgisp/memory-maze
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