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Zhaohan Daniel Guo
Zhaohan Daniel Guo
DeepMind
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Title
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Cited by
Year
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
57072020
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
5862020
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
3062020
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
2382014
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
1372020
Neural predictive belief representations
ZD Guo, MG Azar, B Piot, BA Pires, R Munos
arXiv preprint arXiv:1811.06407, 2018
832018
A pac rl algorithm for episodic pomdps
ZD Guo, S Doroudi, E Brunskill
Artificial Intelligence and Statistics, 510-518, 2016
612016
k. kavukcuoglu, R
JB Grill, F Strub, F Altché, C Tallec, P Richemond, E Buchatskaya, ...
Munos, and M. Valko,“Bootstrap your own latent-a new approach to self …, 2020
562020
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
512022
A general theoretical paradigm to understand learning from human preferences
MG Azar, M Rowland, B Piot, D Guo, D Calandriello, M Valko, R Munos
arXiv preprint arXiv:2310.12036, 2023
472023
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
472017
Geometric entropic exploration
ZD Guo, MG Azar, A Saade, S Thakoor, B Piot, BA Pires, M Valko, ...
arXiv preprint arXiv:2101.02055, 2021
372021
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
362020
Concurrent pac rl
Z Guo, E Brunskill
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
282015
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
192023
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
182016
Directed exploration for reinforcement learning
ZD Guo, E Brunskill
arXiv preprint arXiv:1906.07805, 2019
112019
Sample efficient feature selection for factored mdps
ZD Guo, E Brunskill
arXiv preprint arXiv:1703.03454, 2017
112017
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
102023
Never give up: Learning directed exploration strategies. arXiv
AP Badia, P Sprechmann, A Vitvitskyi, D Guo, B Piot, S Kapturowski, ...
arXiv preprint arXiv:2002.06038, 2020
82020
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