The authors define semantic lifting and semantic reflection for the small language SMOL, formalize its operational semantics and type system, and demonstrate it on a geological modelling case study with an open-source implementation.
Kwiatkowska, Gethin Norman, and David Parker
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Introduces an L*-based active learning algorithm for deterministic MDPs that uses trace sampling to infer complete models including states and outperforms passive methods on accuracy with equal data.
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Semantically Reflected Programs
The authors define semantic lifting and semantic reflection for the small language SMOL, formalize its operational semantics and type system, and demonstrate it on a geological modelling case study with an open-source implementation.
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L*-Based Learning of Markov Decision Processes (Extended Version)
Introduces an L*-based active learning algorithm for deterministic MDPs that uses trace sampling to infer complete models including states and outperforms passive methods on accuracy with equal data.