Project Highlights

Resource Search in Spatial Environments

Modern assistance systems and autonomous vehicles require flexible and dynamic control mechanisms to exploit the variety of information provided by Smart Cities. Therefore, we develop novel planing algorithm based on stochastic optimization and reinforcement learning.

Training Robots with Reinforcement Learning

Training robots with neural networks requires large amounts of samples which are usually generated by simulations. However, transferring a policy trained in an virtual environments bears risks when transferring the trained model to physical systems.

Automatic Annotation of Vegetation in the Boreal Forest

Environmental sciences play an important role for preserving the natural wealth of our planet.
AI-beyond develops novel data analysis techniques to support remote sensing scientists on monitoring environmental disturbances.

An Initiative to advance research and practical uses of Machine Learning and Artificial Intelligence.


AI-beyond was founded by

Matthias Schubert
Professor at LMU Munich
official Homepage at LMU