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Konrad Żołna
Konrad Żołna
Research Scientist, DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
Critic Regularized Regression
Z Wang, A Novikov, K Zolna, JT Springenberg, S Reed, B Shahriari, ...
Advances in Neural Information Processing Systems 33, 2020
812020
Scaling data-driven robotics with reward sketching and batch reinforcement learning
S Cabi, SG Colmenarejo, A Novikov, K Konyushkova, S Reed, R Jeong, ...
Robotics: Science and Systems, 2020
68*2020
Rl Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning
C Gulcehre, Z Wang, A Novikov, T Le Paine, S Gomez Colmenarejo, ...
Advances in Neural Information Processing Systems 33, 2020
67*2020
Hyperparameter selection for offline reinforcement learning
TL Paine, C Paduraru, A Michi, C Gulcehre, K Zolna, A Novikov, Z Wang, ...
arXiv preprint arXiv:2007.09055, 2020
552020
Fraternal dropout
K Zolna, D Arpit, D Suhubdy, Y Bengio
Proceedings of the 6th International Conference on Learning Representations, 2017
342017
Adversarial framing for image and video classification
K Zolna, M Zajac, N Rostamzadeh, PO Pinheiro
Proceedings of the AAAI Conference on Artificial Intelligence 33, 10077-10078, 2019
322019
Task-relevant adversarial imitation learning
K Zolna, S Reed, A Novikov, SG Colmenarejo, D Budden, S Cabi, M Denil, ...
Conference on Robot Learning, 247-263, 2021
252021
Towards homoscedastic nonlinear cointegration for structural health monitoring
K Zolna, PB Dao, WJ Staszewski, T Barszcz
Mechanical Systems and Signal Processing 75, 94-108, 2016
252016
Focused Hierarchical RNNs for Conditional Sequence Processing
NR Ke, K Zolna, A Sordoni, Z Lin, A Trischler, Y Bengio, J Pineau, ...
Proceedings of the 35th International Conference on Machine Learning, 2018
222018
Nonlinear cointegration approach for condition monitoring of wind turbines
K Zolna, PB Dao, WJ Staszewski, T Barszcz
Mathematical Problems in Engineering 2015, 2015
222015
Offline learning from demonstrations and unlabeled experience
K Zolna, A Novikov, K Konyushkova, C Gulcehre, Z Wang, Y Aytar, ...
arXiv preprint arXiv:2011.13885, 2020
182020
Classifier-agnostic saliency map extraction
K Zolna, KJ Geras, K Cho
Computer Vision and Image Understanding, 102969, 2020
182020
Reinforced Imitation in Heterogeneous Action Space
K Zolna, N Rostamzadeh, Y Bengio, S Ahn, PO Pinheiro
arXiv preprint arXiv:1904.03438, 2019
14*2019
The dynamics of handwriting improves the automated diagnosis of dysgraphia
K Zolna, T Asselborn, C Jolly, L Casteran, W Johal, P Dillenbourg
arXiv preprint arXiv:1906.07576, 2019
102019
Regularized behavior value estimation
C Gulcehre, SG Colmenarejo, Z Wang, J Sygnowski, T Paine, K Zolna, ...
arXiv preprint arXiv:2103.09575, 2021
82021
Semi-supervised reward learning for offline reinforcement learning
K Konyushkova, K Zolna, Y Aytar, A Novikov, S Reed, S Cabi, ...
arXiv preprint arXiv:2012.06899, 2020
82020
User Modeling Using LSTM Networks
K Zolna, B Romanski
Proceedings of the AAAI Conference on Artificial Intelligence 31, 5025-5027, 2017
6*2017
Combating False Negatives in Adversarial Imitation Learning
K Żołna, C Saharia, L Boussioux, DYT Hui, M Chevalier-Boisvert, ...
Proceedings of the AAAI Conference on Artificial Intelligence 34, 13999-14000, 2020
5*2020
Split Batch Normalization: Improving Semi-Supervised Learning under Domain Shift
M Zając, K Zolna, S Jastrzębski
arXiv preprint arXiv:1904.03515, 2019
52019
Improving the performance of neural networks in regression tasks using drawering
K Zolna
2017 International Joint Conference on Neural Networks (IJCNN), 2533-2538, 2017
22017
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Articles 1–20