Wojciech Marian Czarnecki
Wojciech Marian Czarnecki
Research Scientist at DeepMind
Zweryfikowany adres z google.com - Strona główna
Tytuł
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Cytowane przez
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Grandmaster level in StarCraft II using multi-agent reinforcement learning
O Vinyals*, I Babuschkin*, WM Czarnecki*, M Mathieu*, A Dudzik*, ...
Nature, 1-5, 2019
847*2019
Reinforcement learning with unsupervised auxiliary tasks
M Jaderberg*, V Mnih*, WM Czarnecki*, T Schaul, JZ Leibo, D Silver, ...
ICLR 2017, 2017
6982017
Human-level performance in 3D multiplayer games with population-based reinforcement learning
M Jaderberg*, WM Czarnecki*, I Dunning*, L Marris, G Lever, ...
Science 364 (6443), 859-865, 2019
3192019
On loss functions for deep neural networks in classification
K Janocha, WM Czarnecki
TFML 2017, 2017
3102017
Population based training of neural networks
M Jaderberg, V Dalibard, S Osindero, WM Czarnecki, J Donahue, ...
arXiv preprint arXiv:1711.09846, 2017
2992017
Distral: Robust Multitask Reinforcement Learning
YW Teh, V Bapst, WM Czarnecki, J Quan, J Kirkpatrick, R Hadsell, ...
NIPS 2017, 2017
2402017
Value-decomposition networks for cooperative multi-agent learning
P Sunehag, G Lever, A Gruslys, WM Czarnecki, V Zambaldi, M Jaderberg, ...
AAMAS 2018, 2017
2312017
Decoupled neural interfaces using synthetic gradients
M Jaderberg, WM Czarnecki, S Osindero, O Vinyals, A Graves, ...
ICML 2017, 2017
2192017
Progress & Compress: A scalable framework for continual learning
J Schwarz, J Luketina, WM Czarnecki, A Grabska-Barwinska, YW Teh, ...
ICML 2018, 2018
2152018
Grounded language learning in a simulated 3d world
KM Hermann, F Hill, S Green, F Wang, R Faulkner, H Soyer, D Szepesvari, ...
CoRR, abs/1706.06551, 2017
155*2017
Multi-task deep reinforcement learning with popart
M Hessel, H Soyer, L Espeholt, W Czarnecki, S Schmitt, H van Hasselt
AAAI 2019, 2018
792018
Sobolev Training for Neural Networks
WM Czarnecki, S Osindero, M Jaderberg, G Świrszcz, R Pascanu
NIPS 2017, 2017
762017
Local minima in training of neural networks
G Swirszcz, WM Czarnecki, R Pascanu
arXiv preprint arXiv:1611.06310, 2016
61*2016
How to evaluate word embeddings? on importance of data efficiency and simple supervised tasks
S Jastrzebski, D Leśniak, WM Czarnecki
arXiv preprint arXiv:1702.02170, 2017
482017
Learning to SMILE (s)
S Jastrzebski, D Lesniak, WM Czarnecki
ICLR 2016 Workshop track, 2016
48*2016
Kickstarting Deep Reinforcement Learning
S Schmitt, JJ Hudson, A Zidek, S Osindero, C Doersch, WM Czarnecki, ...
NIPS 2018 DL Workshop, 2018
472018
Adapting auxiliary losses using gradient similarity
Y Du, WM Czarnecki, SM Jayakumar, R Pascanu, B Lakshminarayanan
NeurIPS 2018 MetaLearning Workshop, 2018
402018
α-Rank: Multi-Agent Evaluation by Evolution
S Omidshafiei, C Papadimitriou, G Piliouras, K Tuyls, M Rowland, ...
Nature Scientific Reports, 2019
382019
Understanding Synthetic Gradients and Decoupled Neural Interfaces
WM Czarnecki, G Świrszcz, M Jaderberg, S Osindero, O Vinyals, ...
ICML 2017, 2017
372017
Open-ended Learning in Symmetric Zero-sum Games
D Balduzzi, M Garnelo, Y Bachrach, WM Czarnecki, J Perolat, ...
ICML 2019, 2019
362019
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