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Tobias Pohlen
Tobias Pohlen
xAI
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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
48962019
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
10622021
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
7112017
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
4302018
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
2182022
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
1432018
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
1022022
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 App. 18/103,309, 2023
2023
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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