Artifacts using learnlib-util version 0.13.0

Support classes for easily writing integration test cases for learning algorithms
Last Release on Nov 15, 2023
A collection of membership oracles
Last Release on Nov 15, 2023
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 and optimizations thereof such as the versions based on "On the Learnability of Infinitary Regular Sets" (https://dx.doi.org/10.1006/inco.1995.1070) by Oded Maler and Amir Pnueli or "Inference of finite automata using homing sequences" ...
Last Release on Nov 15, 2023
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.
Last Release on Nov 15, 2023
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, Falk Howar, and Bernhard Steffen.
Last Release on Nov 15, 2023
A learning algorithm, which distinguishes hypothesis states using a discrimination tree.
Last Release on Oct 12, 2020
An artifact that aggregates all other artifacts of LearnLib to produce an Uber-JAR that can be used in non-maven environments. Likewise, this single artifact may be used in maven-aware environments to declare a dependency on all LearnLib artifacts.
Last Release on Nov 15, 2023
This artifact provides the implementation of the NL* learning algorithm as described in the paper "Angluin-Style Learning of NFA" (http://ijcai.org/Proceedings/09/Papers/170.pdf) by Benedikt Bollig, Peter Habermehl, Carsten Kern, and Martin Leucker.
Last Release on Nov 15, 2023
This artifact provides the implementation of the ADT learning algorithm as described in the Master thesis "Active Automata Learning with Adaptive Distinguishing Sequences" (http://arxiv.org/abs/1902.01139) by Markus Frohme.
Last Release on Nov 15, 2023
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