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Michał Zając
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Google research football: A novel reinforcement learning environment
K Kurach, A Raichuk, P Stańczyk, M Zając, O Bachem, L Espeholt, ...
Proceedings of the AAAI conference on artificial intelligence 34 (04), 4501-4510, 2020
2362020
Adversarial framing for image and video classification
M Zajac, K Zołna, N Rostamzadeh, PO Pinheiro
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 10077 …, 2019
572019
Continual World: A Robotic Benchmark For Continual Reinforcement Learning
M Wołczyk, M Zając, R Pascanu, Ł Kuciński, P Miłoś
NeurIPS 2021, 2021
402021
Split batch normalization: Improving semi-supervised learning under domain shift
M Zając, K Zolna, S Jastrzębski
Learning from Limited Labeled Data Workshop, ICLR 2019, 2019
112019
Improved GQ-CNN: Deep learning model for planning robust grasps
M Jaśkowski, J Świątkowski, M Zając, M Klimek, J Potiuk, P Rybicki, ...
arXiv preprint arXiv:1802.05992, 2018
82018
Disentangling Transfer in Continual Reinforcement Learning
M Wołczyk, M Zając, R Pascanu, Ł Kuciński, P Miłoś
NeurIPS 2022, 2022
62022
The Slow-coloring Game on Sparse Graphs: -Degenerate, Planar, and Outerplanar
G Gutowski, T Krawczyk, K Maziarz, DB West, M Zając, X Zhu
Journal of Combinatorics 12 (2), 283 – 302, 2021
3*2021
Trust Your : Gradient-based Intervention Targeting for Causal Discovery
M Olko, M Zając, A Nowak, N Scherrer, Y Annadani, S Bauer, Ł Kuciński, ...
NeurIPS 2023, 2023
2*2023
Prediction Error-based Classification for Class-Incremental Learning
M Zając, T Tuytelaars, GM van de Ven
arXiv preprint arXiv:2305.18806, 2023
2023
Exploring Continual Learning of Diffusion Models
M Zając, K Deja, A Kuzina, JM Tomczak, T Trzciński, F Shkurti, P Miłoś
arXiv preprint arXiv:2303.15342, 2023
2023
On The Role of Forgetting in Fine-Tuning Reinforcement Learning Models
M Wolczyk, B Cupiał, M Zając, R Pascanu, Ł Kuciński, P Miłoś
Workshop on Reincarnating Reinforcement Learning at ICLR 2023, 2023
2023
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