| A Generalist Agent S Reed, K Zolna, E Parisotto, SG Colmenarejo, A Novikov, G Barth-Maron, ... Transactions on Machine Learning Research, 2022 | 1093 | 2022 |
| Critic Regularized Regression Z Wang, A Novikov, K Zolna, JT Springenberg, S Reed, B Shahriari, ... Advances in Neural Information Processing Systems 33, 2020 | 366 | 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 | 229* | 2020 |
| 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 | 187* | 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 | 176 | 2020 |
| Genie: Generative interactive environments J Bruce, MD Dennis, A Edwards, J Parker-Holder, Y Shi, E Hughes, M Lai, ... Forty-first International Conference on Machine Learning, 2024 | 149 | 2024 |
| Robocat: A self-improving generalist agent for robotic manipulation K Bousmalis, G Vezzani, D Rao, C Devin, AX Lee, M Bauzá, T Davchev, ... arXiv preprint arXiv:2306.11706, 2023 | 124* | 2023 |
| 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 | 80 | 2020 |
| Task-relevant adversarial imitation learning K Zolna*, S Reed*, A Novikov, SG Colmenarejo, D Budden, S Cabi, ... Conference on Robot Learning, 247-263, 2021 | 70 | 2021 |
| Adversarial framing for image and video classification M Zajac*, K Zolna*, N Rostamzadeh, PO Pinheiro Proceedings of the AAAI Conference on Artificial Intelligence 33, 10077-10078, 2019 | 70 | 2019 |
| Fraternal dropout K Zolna, D Arpit, D Suhubdy, Y Bengio Proceedings of the 6th International Conference on Learning Representations, 2017 | 69 | 2017 |
| Alphastar unplugged: Large-scale offline reinforcement learning M Mathieu, S Ozair, S Srinivasan, C Gulcehre, S Zhang, R Jiang, ... arXiv preprint arXiv:2308.03526, 2023 | 43* | 2023 |
| Regularized behavior value estimation C Gulcehre, SG Colmenarejo, Z Wang, J Sygnowski, T Paine, K Zolna, ... arXiv preprint arXiv:2103.09575, 2021 | 41* | 2021 |
| Classifier-agnostic saliency map extraction K Zolna, KJ Geras, K Cho Computer Vision and Image Understanding, 102969, 2020 | 39 | 2020 |
| 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 | 39 | 2016 |
| 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 | 35 | 2020 |
| Nonlinear cointegration approach for condition monitoring of wind turbines K Zolna, PB Dao, WJ Staszewski, T Barszcz Mathematical Problems in Engineering 2015 (1), 978156, 2015 | 32 | 2015 |
| 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 | 29 | 2018 |
| 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 | 23 | 2019 |
| Imagen 3 J Baldridge, J Bauer, M Bhutani, N Brichtova, A Bunner, L Castrejon, ... arXiv preprint arXiv:2408.07009, 2024 | 21 | 2024 |
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