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Tobias Pohlen
Tobias Pohlen
xAI
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Title
Cited by
Cited by
Year
Grandmaster level in StarCraft II using multi-agent reinforcement learning
O Vinyals, I Babuschkin, WM Czarnecki, M Mathieu, A Dudzik, J Chung, ...
nature 575 (7782), 350-354, 2019
51092019
Scaling language models: Methods, analysis & insights from training gopher
JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ...
arXiv preprint arXiv:2112.11446, 2021
11542021
Full-resolution residual networks for semantic segmentation in street scenes
T Pohlen, A Hermans, M Mathias, B Leibe
Computer Vision and Pattern Recognition (CVPR), 2017
7182017
Reward learning from human preferences and demonstrations in Atari
B Ibarz, J Leike, T Pohlen, G Irving, S Legg, D Amodei
Advances in Neural Information Processing Systems (NIPS/NeurIPS), 2018
4622018
Mastering the game of Stratego with model-free multiagent reinforcement learning
J Perolat, B De Vylder, D Hennes, E Tarassov, F Strub, V de Boer, ...
Science 378 (6623), 990-996, 2022
2502022
Observe and look further: Achieving consistent performance on atari
T Pohlen, B Piot, T Hester, MG Azar, D Horgan, D Budden, G Barth-Maron, ...
arXiv preprint arXiv:1805.11593, 2018
1452018
A data-driven approach for learning to control computers
PC Humphreys, D Raposo, T Pohlen, G Thornton, R Chhaparia, A Muldal, ...
International Conference on Machine Learning, 9466-9482, 2022
1082022
Semantic segmentation of modular furniture
T Pohlen, I Badami, M Mathias, B Leibe
Applications of Computer Vision (WACV), 2016
102016
Learned computer control using pointing device and keyboard actions
PC Humphreys, TP Lillicrap, TM Pohlen, AA Santoro
US Patent 12,189,870, 2025
2025
Towards Consistent Performance on Atari using Expert Demonstrations
T Pohlen, B Piot, T Hester, MG Azar, D Horgan, D Budden, G Barth-Maron, ...
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