Head of the chair: Prof. Hector Geffner, PhD; Alexander von Humboldt Professor of AI
Research topics
The research topics of the RLeap Lab include:
- Learning representations for planning
- Planning models, algorithms, and techniques
- Planning and reinforcement learning
- Generalized planning
- Model-based vs. model-free intelligence
Groups
The chair hosts two other research groups:
- Machine learning and human language technology (Hermann Ney, Ralf Schlüter)
- Machine learning on graphs (Christopher Morris)
Collaborators
- Representation, Learning, and Planning Lab (RLeap)
- Artificial Intelligence and Machine Learning Research group (UPF, Spain)
Jobs
We are seeking highly motivated and talented doctoral students and postdoctoral researchers eager to make a difference in these problems, with experience in areas such as deep learning, reinforcement learning and planning, logic and knowledge representation, combinatorial optimization and SAT. The doctoral students and postdoctoral researchers will pursue their research in the context of these broad goals, on specific themes that will be a function of their background, skills, and interests, and our research agenda. Excellent oral and written skills in English are required.
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