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Rong Guo, Dr. rer. nat.
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Raum: MAR5045 Tel: 314-73310
Fax: 314-73121Email: rong.guo @ tu-berlin
Sekretariat MAR 5-6
Marchstr. 23
D-10587 Berlin
Consultation hour: please write an email to make an appointment
Research Interest:
- Reinforcement learning (deep and safe)
- Human decision making under uncertainty (Model-based fMRI, Psychophysics, Neuroeconomics)
- Hierarchical Bayesian modeling
Supervising thesis
Available thesis topics:
- Safe Exploration in Deep Reinforcement Learning
- Risk-Sensitive Reinforcement Learning in AI Safety Gridworlds
- Safe-constrained Transfer Learning
- Safe Reinforcement Learning via Curriculum Induction
- Safe Reinforcement Learning via Ensemble Learning
Supervised theses:
| 2021 | Masterarbeit | Kateryna Yasynska | Risk-sensitive reinforcement learning in decision making |
| 2020 | Bachelorarbeit | Julien Look | Comparing Synchronous and Asynchronous Reinforcement Learning |
| 2019 | Masterarbeit | Nikolas Höft | Risk-sensitive Partially Observable Markov Decision Process: Modelling Human Choice under Perceptual Uncertainty |
| 2018 | Masterarbeit | Kwangjun Lee | Hierarchical Drift-Diffusion Model on reward-based two-choice decision making process under perceptual and economic uncertainty |
CV
since 05.2015 | NI, TU-Berlin | Postdoc |
|---|---|---|
| 06.2013–05.2015 | NI, TU-Berlin | Wissenschaftliche Mitarbeiterin |
| 11.2011–05.2015 | Bernstein Center for Computational Neuroscience Berlin (BCCN) | Ph.D Training (Sensory Computation in Neural Systems) |
05.2013–12.2014 | Institute of Systems Neuroscience, University Medical Center Hamburg-Eppendorf | Exchange Ph.D, supervised by Dr. Jan Gläscher |
| 09.2004–04.2011 | Northwestern Polytechnical University | Master of Engineering (Electrical Engineering) |
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