متابعة
George Tucker
George Tucker
Google DeepMind
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عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Soft actor-critic algorithms and applications‏
T Haarnoja, A Zhou, K Hartikainen, G Tucker, S Ha, J Tan, V Kumar, ...‏
arXiv preprint arXiv:1812.05905, 2018‏
32142018
Gemini: a family of highly capable multimodal models‏
G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...‏
arXiv preprint arXiv:2312.11805, 2023‏
24882023
Offline reinforcement learning: Tutorial, review, and perspectives on open problems‏
S Levine, A Kumar, G Tucker, J Fu‏
arXiv preprint arXiv:2005.01643, 2020‏
2368*2020
Conservative q-learning for offline reinforcement learning‏
A Kumar, A Zhou, G Tucker, S Levine‏
NeurIPS 2020, 2020‏
20552020
Efficient Bayesian mixed-model analysis increases association power in large cohorts‏
PR Loh, G Tucker, BK Bulik-Sullivan, BJ Vilhjálmsson, HK Finucane, ...‏
Nature genetics 47 (3), 284-290, 2015‏
16622015
Regularizing neural networks by penalizing confident output distributions‏
G Pereyra, G Tucker, J Chorowski, Ł Kaiser, G Hinton‏
ICLR 2017 Workshop, 2017‏
13202017
D4rl: Datasets for deep data-driven reinforcement learning‏
J Fu, A Kumar, O Nachum, G Tucker, S Levine‏
arXiv preprint arXiv:2004.07219, 2020‏
12742020
Stabilizing off-policy q-learning via bootstrapping error reduction‏
A Kumar, J Fu, G Tucker, S Levine‏
NeurIPS 2019, 2019‏
11822019
Model-based reinforcement learning for atari‏
L Kaiser, M Babaeizadeh, P Milos, B Osinski, RH Campbell, ...‏
ICLR 2020 Spotlight, 2020‏
10642020
On variational bounds of mutual information‏
B Poole, S Ozair, A Van Den Oord, A Alemi, G Tucker‏
International Conference on Machine Learning, 5171-5180, 2019‏
9962019
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context‏
G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ...‏
arXiv preprint arXiv:2403.05530, 2024‏
9752024
Gemma: Open models based on gemini research and technology‏
G Team, T Mesnard, C Hardin, R Dadashi, S Bhupatiraju, S Pathak, ...‏
arXiv preprint arXiv:2403.08295, 2024‏
9162024
Behavior regularized offline reinforcement learning‏
Y Wu, G Tucker, O Nachum‏
arXiv preprint arXiv:1911.11361, 2019‏
8032019
Widespread macromolecular interaction perturbations in human genetic disorders‏
N Sahni, S Yi, M Taipale, JIF Bass, J Coulombe-Huntington, F Yang, ...‏
Cell 161 (3), 647-660, 2015‏
6032015
Learning to walk via deep reinforcement learning‏
T Haarnoja, S Ha, A Zhou, J Tan, G Tucker, S Levine‏
RSS 2019, 2019‏
5902019
Deep bayesian bandits showdown: An empirical comparison of bayesian deep networks for thompson sampling‏
C Riquelme, G Tucker, J Snoek‏
ICLR 2018, 2018‏
471*2018
A quantitative chaperone interaction network reveals the architecture of cellular protein homeostasis pathways‏
M Taipale, G Tucker, J Peng, I Krykbaeva, ZY Lin, B Larsen, H Choi, ...‏
Cell 158 (2), 434-448, 2014‏
4642014
Sample-efficient reinforcement learning with stochastic ensemble value expansion‏
J Buckman, D Hafner, G Tucker, E Brevdo, H Lee‏
NeurIPS 2018 Oral, 2018‏
4142018
Don't blame the elbo! a linear vae perspective on posterior collapse‏
J Lucas, G Tucker, RB Grosse, M Norouzi‏
Advances in Neural Information Processing Systems 32, 2019‏
370*2019
Rebar: Low-variance, unbiased gradient estimates for discrete latent variable models‏
G Tucker, A Mnih, CJ Maddison, D Lawson, J Sohl-Dickstein‏
NIPS 2017 Oral, 2017‏
3602017
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مقالات 1–20