Scholar
Pavel Kolev
Google Scholar ID: m1j0aaoAAAAJ
Postdoc, University of Tübingen
Citations & Impact
Citations
432
H-index
9
i10-index
9
Publications
20
Co-authors
10
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers including 'SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models' and participated in various projects such as 'Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints'. Also, organizing EWRL'25 conference.
Research Experience
- Currently a Postdoctoral Researcher at Eberhard Karls University of Tübingen, previously at the Autonomous Learning Group with Prof. Georg Martius. Formerly, he was a Postdoctoral Researcher at the Max Planck Institute for Intelligent Systems (MPI-IS) and the Max Planck Institute for Informatics (MPI-INF), working in the Algorithms and Complexity Department with Prof. Kurt Mehlhorn.
Education
- Obtained his doctoral degree in 2018 from the Computer Science Department at Saarland University, advised by Prof. Kurt Mehlhorn and Prof. Karl Bringmann. During his doctoral studies, he was also affiliated with the Algorithms and Complexity Department at Max Planck Institute for Informatics (MPI-INF) and the Cluster of Excellence on 'Multimodal Computing and Interaction (MMCI)'.
Background
- Research Interests: Machine Learning, particularly in designing novel algorithms at the intersection of reinforcement learning, optimization, and information theory that scale efficiently and approximately solve real-world problems.
Miscellany
- Contact: pavel.kolev@uni-tuebingen.de; Links: LinkedIn, GitHub, DBLP, Google Scholar
