Wendelin Böhmer

Dr. Wendelin Böhmer is an assistant professor in the Algorithmics group of the Faculty of Electrical Engineering, Mathematics & Computer Science at the TU Delft. His research focuses on theoretical questions in deep reinforcement learning, in particular out-of-distribution generalization, the use of deductive reasoning and multi-agent RL.

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AI skills: Introduction to Unsupervised, Deep and Reinforcement Learning (edX) EdX
Delft University of Technology,DelftX

AI skills: Introduction to Unsupervised, Deep and Reinforcement Learning (edX)

Robotics & Computer Vision

Discover the core concepts of artificial intelligence with our Introduction to Unsupervised, Deep, and Reinforcement Learning course. This edX offering provides a solid foundation in clustering, dimensionality reduction, deep learning, and reinforcement learning techniques, empowering you to solve complex real-world challenges using AI. Whether you're new to machine learning or looking to expand your expertise, this course is designed for learners at all levels.

Self Paced
Self-Paced
Artificial Intelligence Clustering AI
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