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This repo contains an example jupyter-notebook for the CML algorithm on all different kinds of the abstract graph tasks: Random, Small World, Dead End, and Multi-path graphs
Please refer to the paper for more details:
Local prediction-learning in high-dimensional spaces enables neural networks to plan
Christoph Stöckl, Yukun Yang, Wolfgang Maass
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This repo contains an example jupyter-notebook for the CML algorithm on all different kinds of the abstract random graph tasks.