Group: LearnLib

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Infrastructure and core interfaces of LearnLib

LearnLib Testsupport

A collection of membership oracles

A collection of utility methods for learning setups (oracle wrappers, etc.)

A collection of algorithms for handling counterexamples in automata learning

A collection of equivalence oracles

LearnLib Tooling

Utilities for simulating SULs

LearnLib Distribution

Caches to avoid posing duplicate membership queries

LearnLib Ralib

Module for data structures shared by multiple learning algorithms of LearnLib

LearnLib Archetypes

Filters for collecting statistical data

This artifact provides the implementation of the L* learning algorithm described in the paper "Learning Regular Sets from Queries and Counterexamples" (https://doi.org/10.1016/0890-5401(87)90052-6) by Dana Angluin including variations ...

Support for posing membership queries in parallel

This artifact provides the implementation of the DHC learning algorithm as described in the paper "Automata Learning with on-the-Fly Direct Hypothesis Construction" (https://doi.org/10.1007/978-3-642-34781-8_19) by Maik Merten, Falk ...

Basic support for test driver creation

This artifact provides the implementation of the learning algorithm described in the book "An Introduction to Computational Learning Theory" by Michael Kearns and Umesh Vazirani.

This artifact provides the implementations of various learning algorithms based on the "lazy partition refinement" concept as described in the paper "Active Automata Learning as Black-Box Search and Lazy Partition Refinement" ...