CGP++ : A Modern C++ Implementation of Cartesian Genetic Programming

1 code implementation • 13 Jun 2024 • Roman Kalkreuth, Thomas Baeck

The reference implementation of Cartesian Genetic Programming (CGP) was written in the C programming language.

A Functional Analysis Approach to Symbolic Regression

no code implementations • 9 Feb 2024 • Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V Kononova

The superior performance of the proposed algorithm and insights into the limitations of GP open the way for further advancing GP for SR and related areas of explainable machine learning.

Benchmarking regression +1

Challenges of ELA-guided Function Evolution using Genetic Programming

no code implementations • 24 May 2023 • Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein

Within the optimization community, the question of how to generate new optimization problems has been gaining traction in recent years.

On the Verge of Solving Rocket League using Deep Reinforcement Learning and Sim-to-sim Transfer

no code implementations • 10 May 2022 • Marco Pleines, Konstantin Ramthun, Yannik Wegener, Hendrik Meyer, Matthias Pallasch, Sebastian Prior, Jannik Drögemüller, Leon Büttinghaus, Thilo Röthemeyer, Alexander Kaschwig, Oliver Chmurzynski, Frederik Rohkrähmer, Roman Kalkreuth, Frank Zimmer, Mike Preuss

Autonomously trained agents that are supposed to play video games reasonably well rely either on fast simulation speeds or heavy parallelization across thousands of machines running concurrently.

Deep Reinforcement Learning Reinforcement Learning (RL)

Towards Advanced Phenotypic Mutations in Cartesian Genetic Programming

no code implementations • 16 Mar 2018 • Roman Kalkreuth

Cartesian Genetic Programming is often used with a point mutation as the sole genetic operator.

regression Symbolic Regression