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dtControl 2.0: Explainable Strategy Representation via Decision Tree Learning Steered by Experts
[article]
2021
arXiv
pre-print
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Most importantly, the user can now provide domain knowledge to be exploited in the decision tree learning process and can also interactively steer the process based on the dynamically provided information ...
We present dtControl 2.0, a new version with several fundamentally novel features. ...
The tool now features a graphical user interface, allowing both experts and non-experts to conveniently interact with the decision tree learning process as well as the resulting tree. ...
arXiv:2101.07202v1
fatcat:vriuqr74pfdtpf3tt3vwu6dchu
dtControl 2.0: Explainable Strategy Representation via Decision Tree Learning Steered by Experts
[chapter]
2021
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Most importantly, the user can now provide domain knowledge to be exploited in the decision tree learning process and can also interactively steer the process based on the dynamically provided information ...
AbstractRecent advances have shown how decision trees are apt data structures for concisely representing strategies (or controllers) satisfying various objectives. ...
The tool now features a graphical user interface, allowing both experts and non-experts to conveniently interact with the decision tree learning process as well as the resulting tree. ...
doi:10.1007/978-3-030-72013-1_17
fatcat:ikpt43u4gba75dag5agzn3yp3m