Carles Gelada
Carles Gelada
OpenAI
在 openai.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
1702019
Dopamine: A research framework for deep reinforcement learning
PS Castro, S Moitra, C Gelada, S Kumar, MG Bellemare
arXiv preprint arXiv:1812.06110, 2018
127*2018
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
702019
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
452019
Hyperbolic discounting and learning over multiple horizons
W Fedus, C Gelada, Y Bengio, MG Bellemare, H Larochelle
arXiv preprint arXiv:1902.06865, 2019
282019
The importance of pessimism in fixed-dataset policy optimization
J Buckman, C Gelada, MG Bellemare
arXiv preprint arXiv:2009.06799, 2020
62020
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