Ingmar Schubert

I am a PhD student at the Learning and Intelligent Systems Lab at Technische Universität Berlin. I am currently working on reinforcement learning in robotics. My advisor is Marc Toussaint.

I interned at DeepMind and G-Research.

I received my MSc and BSc in physics from Humboldt-Universität zu Berlin, where I focused on theoretical quantum mechanics. I also was a visiting student researcher at the University of Ottawa.

A Generalist Dynamics Model for Control

Ingmar Schubert, Jingwei Zhang, Jake Bruce, Sarah Bechtle, Emilio Parisotto, Martin Riedmiller, Jost Tobias Springenberg, Arunkumar Byravan, Leonard Hasenclever, Nicolas Heess
arXiv Preprint (2023)

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Reinforcement Learning with Neural Radiance Fields

Danny Driess*, Ingmar Schubert*, Pete Florence, Yunzhu Li, Marc Toussaint
NeurIPS - Neural Information Processing Systems 36 (2022)

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Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics

Ingmar Schubert, Danny Driess, Ozgur S Oguz, Marc Toussaint
NeurIPS - Neural Information Processing Systems 35 (2021)

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Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks

Ingmar Schubert, Ozgur S Oguz, Marc Toussaint
ICLR - 9th International Conference on Learning Representations (2021)

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Simultaneous Double Ionization of C₆₀ Molecules in Single-Cycle Pulses

Ingmar Schubert, Graeme Bart, Thomas Brabec
New Journal of Physics 23, 023006 (2021)

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Lazy Action Value Models for Q-Learning in Robotics

Ingmar Schubert, Marc Toussaint
ICRA Workshop on Machine Learning in Planning and Control of Robot Motion (2020)

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Coulomb Blocking of Sequential Tunnel Ionization in Complex Systems

Graeme Bart, Ingmar Schubert, Andrew M Parks, Paul B Corkum, Thomas Brabec
Journal of Physics: Photonics 2, 034007 (2020)

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Master Thesis
Correlated Double Ionization of the C₆₀ Fullerene in Short Intense Laser Pulses

Ingmar Schubert (2019)

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Bachelor Thesis
Helium in Strong Fields - On the Adiabaticity Time in the Limit of a Sudden Switch-On

Ingmar Schubert (2017)

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