| Bootstrap your own latent-a new approach to self-supervised learning JB Grill, F Strub, F Altché, C Tallec, P Richemond, E Buchatskaya, ... Advances in neural information processing systems 33, 21271-21284, 2020 | 6108 | 2020 |
| Agent57: Outperforming the atari human benchmark AP Badia, B Piot, S Kapturowski, P Sprechmann, A Vitvitskyi, ZD Guo, ... International conference on machine learning, 507-517, 2020 | 644 | 2020 |
| koray kavukcuoglu, Remi Munos, and Michal Valko. Bootstrap your own latent-a new approach to self-supervised learning JB Grill, F Strub, F Altché, C Tallec, P Richemond, E Buchatskaya, ... Advances in neural information processing systems 33, 21271-21284, 2020 | 455 | 2020 |
| Never give up: Learning directed exploration strategies AP Badia, P Sprechmann, A Vitvitskyi, D Guo, B Piot, S Kapturowski, ... arXiv preprint arXiv:2002.06038, 2020 | 329 | 2020 |
| Joint semantic utterance classification and slot filling with recursive neural networks D Guo, G Tur, W Yih, G Zweig 2014 IEEE Spoken Language Technology Workshop (SLT), 554-559, 2014 | 246 | 2014 |
| A general theoretical paradigm to understand learning from human preferences MG Azar, ZD Guo, B Piot, R Munos, M Rowland, M Valko, D Calandriello International Conference on Artificial Intelligence and Statistics, 4447-4455, 2024 | 159 | 2024 |
| Bootstrap latent-predictive representations for multitask reinforcement learning ZD Guo, BA Pires, B Piot, JB Grill, F Altché, R Munos, MG Azar International Conference on Machine Learning, 3875-3886, 2020 | 145 | 2020 |
| Neural predictive belief representations ZD Guo, MG Azar, B Piot, BA Pires, R Munos arXiv preprint arXiv:1811.06407, 2018 | 89 | 2018 |
| A pac rl algorithm for episodic pomdps ZD Guo, S Doroudi, E Brunskill Artificial Intelligence and Statistics, 510-518, 2016 | 65 | 2016 |
| Byol-explore: Exploration by bootstrapped prediction Z Guo, S Thakoor, M Pîslar, B Avila Pires, F Altché, C Tallec, A Saade, ... Advances in neural information processing systems 35, 31855-31870, 2022 | 58 | 2022 |
| Using options and covariance testing for long horizon off-policy policy evaluation Z Guo, PS Thomas, E Brunskill Advances in Neural Information Processing Systems 30, 2017 | 48 | 2017 |
| Nash learning from human feedback R Munos, M Valko, D Calandriello, MG Azar, M Rowland, ZD Guo, Y Tang, ... arXiv preprint arXiv:2312.00886, 2023 | 46 | 2023 |
| Bootstrap your own latent: A new approach to self-supervised learning. arXiv JB Grill, F Strub, F Altché, C Tallec, PH Richemond, E Buchatskaya, ... arXiv preprint arXiv:2006.07733, 2020 | 41 | 2020 |
| Geometric entropic exploration ZD Guo, MG Azar, A Saade, S Thakoor, B Piot, BA Pires, M Valko, ... arXiv preprint arXiv:2101.02055, 2021 | 40 | 2021 |
| Concurrent pac rl Z Guo, E Brunskill Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 30 | 2015 |
| Understanding self-predictive learning for reinforcement learning Y Tang, ZD Guo, PH Richemond, BA Pires, Y Chandak, R Munos, ... International Conference on Machine Learning, 33632-33656, 2023 | 27 | 2023 |
| Generalized preference optimization: A unified approach to offline alignment Y Tang, ZD Guo, Z Zheng, D Calandriello, R Munos, M Rowland, ... arXiv preprint arXiv:2402.05749, 2024 | 23 | 2024 |
| Pac continuous state online multitask reinforcement learning with identification Y Liu, Z Guo, E Brunskill Proceedings of the 2016 International Conference on Autonomous Agents …, 2016 | 21 | 2016 |
| Understanding the performance gap between online and offline alignment algorithms Y Tang, DZ Guo, Z Zheng, D Calandriello, Y Cao, E Tarassov, R Munos, ... arXiv preprint arXiv:2405.08448, 2024 | 13 | 2024 |
| Directed exploration for reinforcement learning ZD Guo, E Brunskill arXiv preprint arXiv:1906.07805, 2019 | 12 | 2019 |
Emma BrunskillAssociate Professor of Computer Science, Stanford UniversityDirección de correo verificada de cs.stanford.edu
