Folgen
Ingmar Schubert
Ingmar Schubert
PhD candidate in Learning & Intelligent Systems, Technische Universität Berlin
Bestätigte E-Mail-Adresse bei tu-berlin.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Reinforcement learning with neural radiance fields
D Driess, I Schubert, P Florence, Y Li, M Toussaint
Advances in Neural Information Processing Systems 35, 16931-16945, 2022
682022
A generalist dynamics model for control
I Schubert, J Zhang, J Bruce, S Bechtle, E Parisotto, M Riedmiller, ...
arXiv preprint arXiv:2305.10912, 2023
292023
Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks
I Schubert, OS Oguz, M Toussaint
ICLR 2021, 2021
82021
Learning to execute: Efficient learning of universal plan-conditioned policies in robotics
I Schubert, D Driess, OS Oguz, M Toussaint
Advances in Neural Information Processing Systems 34, 1912-1924, 2021
22021
Coulomb blocking of sequential tunnel ionization in complex systems
G Bart, I Schubert, AM Parks, PB Corkum, T Brabec
Journal of Physics: Photonics 2 (3), 034007, 2020
22020
Spatial Reasoning via Deep Vision Models for Robotic Sequential Manipulation
H Zhou, I Schubert, M Toussaint, OS Oguz
arXiv preprint arXiv:2306.17053, 2023
12023
Simultaneous double ionization of C60 molecules in single-cycle pulses
I Schubert, G Bart, T Brabec
New Journal of Physics 23 (2), 023006, 2021
2021
Lazy Action Value Models for Q-Learning in Robotics
I Schubert, M Toussaint
ICRA Workshop on Machine Learning in Planning and Control of Robot Motion, 2020
2020
Correlated Double Ionization of the C60 Fullerene in Short Intense Laser Pulses
I Schubert
2019
Helium im starken Feld: Betrachtung zur Adiabatizitätszeit in der Näherung des plötzlichen Anschaltens
I Schubert
2017
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–10