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Carles Gelada
Carles Gelada
OpenAI
Verified email at openai.com
Title
Cited by
Cited by
Year
Meta-dataset: A dataset of datasets for learning to learn from few examples
E Triantafillou, T Zhu, V Dumoulin, P Lamblin, U Evci, K Xu, R Goroshin, ...
arXiv preprint arXiv:1903.03096, 2019
7352019
DeepMDP: Learning Continuous Latent Space Models for Representation Learning
C Gelada, S Kumar, J Buckman, O Nachum, MG Bellemare
arXiv preprint arXiv:1906.02736, 2019
3502019
Dopamine: A research framework for deep reinforcement learning
PS Castro, S Moitra, C Gelada, S Kumar, MG Bellemare
arXiv preprint arXiv:1812.06110, 2018
3092018
The importance of pessimism in fixed-dataset policy optimization
J Buckman, C Gelada, MG Bellemare
arXiv preprint arXiv:2009.06799, 2020
1572020
Hyperbolic discounting and learning over multiple horizons
W Fedus, C Gelada, Y Bengio, MG Bellemare, H Larochelle
arXiv preprint arXiv:1902.06865, 2019
1292019
Off-policy deep reinforcement learning by bootstrapping the covariate shift
C Gelada, MG Bellemare
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3647-3655, 2019
1132019
Dopamine: A framework for flexible Reinforcement Learning research
PS Castro, S Moitra, C Gelada, S Kumar, MG Bellemare
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