GEGELATI

GEGELATI [dʒedʒelati] is a fresh open-source reinforcement learning framework for training artificial intelligence based on Tangled Program Graphs (TPGs). The purpose of this framework, developed as a C++ shared library, is to make it as easy and as fast as possible and to train an agent on a new learning environment. The C++ library is developed to be portable, fully documented, and thoroughly unit tested to ensure its maintainability. GEGELATI is developed at the Institut d’Electronique et des Technologies du numéRique (IETR).

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Foutics PhD start

With the start of Paul Allaire and Quentin Vacher today, the Foutics project is getting closer to reality. Stay tuned for the first contributions!