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

Support classes for easily writing integration test cases for learning algorithms

A collection of membership oracles

A collection of equivalence oracles

Support classes for easily writing unit tests for various components of LearnLib

Caches to avoid posing duplicate membership queries

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 ...

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 implementation of the TTT algorithm as described in the paper "The TTT Algorithm: A Redundancy-Free Approach to Active Automata Learning" (https://doi.org/10.1007/978-3-319-11164-3_26) by Malte Isberner, ...

This artifact provides the implementation of the Sparse OT learning algorithm as described in the paper "Learning Mealy Machines with Sparse Observation Tables" (https://doi.org/10.1007/978-3-032-05792-1_10) by Wolffhardt Schwabe, ...

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" ...