Sotabase

Career

· Senior Research Scientist, NVIDIA2020–
· Research Intern, Deepmind2019–2019
· Research Intern, Microsoft Research2019–2019
· DPhil in Autonomous Intelligent Machines and Systems, University of Oxford2015–
· Consulting Director, 180 Degrees Consulting Munich2014–2015
· Werkstudent, PreisAnalytics GmbH2013–2014

Publications (29)

International Conference on Learning Representations · 2019
306
cited
International Conference on Machine Learning · 2018
288
cited
International Conference on Machine Learning · 2018
208
cited
International Conference on Learning Representations · 2017
159
cited
International Conference on Learning Representations · 2020
101
cited
International Conference on Learning Representations · 2020
98
cited
IEEE International Conference on Robotics and Automation · 2022
80
cited
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning
International Conference on Learning Representations · 2017
72
cited
International Conference on Learning Representations · 2017
71
cited
VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning
Journal of machine learning research · 2021
58
cited
International Conference on Machine Learning · 2020
43
cited
The Impact of Non-stationarity on Generalisation in Deep Reinforcement Learning
arXiv.org · 2020
35
cited
Computer Vision and Pattern Recognition · 2024
32
cited
Conference on Uncertainty in Artificial Intelligence · 2019
26
cited
International Conference on Machine Learning · 2021
14
cited
IEEE/RJS International Conference on Intelligent RObots and Systems · 2023
3
cited
Sotabase
Maximilian Igl | Researcher Profile | Sotabase | Sotabase