Rule covering for interpretation and boosting
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Updated
Apr 20, 2021 - HTML
Rule covering for interpretation and boosting
To avoid some common AI sins, find explicable models using minimal data (via tuned learners).
A combination of reinforcement and evolutionary learning are used in an attempt to allow autonomous vehicles to learn behaviors necessary for the navigation of an intersection in a simple 2D traffic simulator. The open source AIM4 simulator developed by the Learning Agents Research Group at The University of Texas was extended to implement a spe…
(experimental) Minimalist s-expr based term graph rewriting system
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