Nico Gürtler

Position / Function

Contact
Nico Gürtler
Department of Computer Science
Maria-von-Linden-Straße 6, 72076, Tübingen
Email: nico.guertler[AT]uni[MINUS]tuebingen[DOT]de

Office: Raum 00-30/A18

Short CV

2019-present

PhD student

Max Planck Institute for Intelligent Systems, University of Tuebingen

All Publications

Wang Q, McCarthy R, Bulens D C, et al. Improving behavioural cloning with positive unlabeled learning[C]//Conference on Robot Learning. PMLR, 2023: 3851-3869.
Gürtler N, Widmaier F, Sancaktar C, et al. Real robot challenge 2022: Learning dexterous manipulation from offline data in the real world[C]//NeurIPS 2022 Competition Track. PMLR, 2023: 133-150.
Gürtler N, Blaes S, Kolev P, et al. Benchmarking offline reinforcement learning on real-robot hardware[J]. arXiv preprint arXiv:2307.15690, 2023.
Pan H R, Gürtler N, Neitz A, et al. Direct advantage estimation[J]. Advances in Neural Information Processing Systems, 2022, 35: 11869-11880.
Gürtler N, Büchler D, Martius G. Hierarchical reinforcement learning with timed subgoals[J]. Advances in Neural Information Processing Systems, 2021, 34: 21732-21743.

Research Interests

(hierarchical and model-based) reinforcement learning, offline reinforcement learning and imitation learning, machine learning for robotics