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dtControl 2.0: Explainable Strategy Representation via Decision Tree Learning Steered by Experts
[article]
2021
arXiv
pre-print
Recent advances have shown how decision trees are apt data structures for concisely representing strategies (or controllers) satisfying various objectives. Moreover, they also make the strategy more explainable. The recent tool dtControl had provided pipelines with tools supporting strategy synthesis for hybrid systems, such as SCOTS and Uppaal Stratego. We present dtControl 2.0, a new version with several fundamentally novel features. Most importantly, the user can now provide domain knowledge
arXiv:2101.07202v1
fatcat:vriuqr74pfdtpf3tt3vwu6dchu