Wojciech Marian Czarnecki
Wojciech Marian Czarnecki
Research Scientist at DeepMind
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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 575, 350–354, 2019
1351*2019
Reinforcement learning with unsupervised auxiliary tasks
M Jaderberg*, V Mnih*, WM Czarnecki*, T Schaul, JZ Leibo, D Silver, ...
ICLR 2017, 2017
8142017
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
4242019
On loss functions for deep neural networks in classification
K Janocha, WM Czarnecki
TFML 2017, 2017
3982017
Population based training of neural networks
M Jaderberg, V Dalibard, S Osindero, WM Czarnecki, J Donahue, ...
arXiv preprint arXiv:1711.09846, 2017
3892017
Value-decomposition networks for cooperative multi-agent learning
P Sunehag, G Lever, A Gruslys, WM Czarnecki, V Zambaldi, M Jaderberg, ...
AAMAS 2018, 2017
3552017
Distral: Robust Multitask Reinforcement Learning
YW Teh, V Bapst, WM Czarnecki, J Quan, J Kirkpatrick, R Hadsell, ...
NIPS 2017, 2017
2952017
Progress & Compress: A scalable framework for continual learning
J Schwarz, J Luketina, WM Czarnecki, A Grabska-Barwinska, YW Teh, ...
ICML 2018, 2018
2922018
Decoupled neural interfaces using synthetic gradients
M Jaderberg, WM Czarnecki, S Osindero, O Vinyals, A Graves, ...
ICML 2017, 2017
2452017
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
183*2017
Multi-task deep reinforcement learning with popart
M Hessel, H Soyer, L Espeholt, W Czarnecki, S Schmitt, H van Hasselt
AAAI 2019, 2018
1112018
Sobolev Training for Neural Networks
WM Czarnecki, S Osindero, M Jaderberg, G Świrszcz, R Pascanu
NIPS 2017, 2017
972017
Local minima in training of neural networks
G Swirszcz, WM Czarnecki, R Pascanu
arXiv preprint arXiv:1611.06310, 2016
66*2016
Kickstarting Deep Reinforcement Learning
S Schmitt, JJ Hudson, A Zidek, S Osindero, C Doersch, WM Czarnecki, ...
NIPS 2018 DL Workshop, 2018
592018
α-Rank: Multi-Agent Evaluation by Evolution
S Omidshafiei, C Papadimitriou, G Piliouras, K Tuyls, M Rowland, ...
Nature Scientific Reports, 2019
582019
Open-ended Learning in Symmetric Zero-sum Games
D Balduzzi, M Garnelo, Y Bachrach, WM Czarnecki, J Perolat, ...
ICML 2019, 2019
572019
Learning to SMILE (s)
S Jastrzebski, D Lesniak, WM Czarnecki
ICLR 2016 Workshop track, 2016
56*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
552017
Adapting auxiliary losses using gradient similarity
Y Du, WM Czarnecki, SM Jayakumar, R Pascanu, B Lakshminarayanan
NeurIPS 2018 MetaLearning Workshop, 2018
532018
Understanding Synthetic Gradients and Decoupled Neural Interfaces
WM Czarnecki, G Świrszcz, M Jaderberg, S Osindero, O Vinyals, ...
ICML 2017, 2017
432017
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Artículos 1–20