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João G. M. Araújo
João G. M. Araújo
Autonomous Assistants, Google DeepMind
Verified email at google.com
Title
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Cited by
Year
Cleanrl: High-quality single-file implementations of deep reinforcement learning algorithms
S Huang, RFJ Dossa, C Ye, J Braga, D Chakraborty, K Mehta, ...
Journal of Machine Learning Research 23 (274), 1-18, 2022
1302022
Mitigating harm in language models with conditional-likelihood filtration
H Ngo, C Raterink, JGM Araújo, I Zhang, C Chen, A Morisot, N Frosst
arXiv preprint arXiv:2108.07790, 2021
292021
No news is good news: A critique of the one billion word benchmark
H Ngo, JGM Araújo, J Hui, N Frosst
arXiv preprint arXiv:2110.12609, 2021
42021
Categorical Deep Learning: An Algebraic Theory of Architectures
B Gavranović, P Lessard, A Dudzik, T von Glehn, JGM Araújo, ...
arXiv preprint arXiv:2402.15332, 2024
32024
Scalable training of language models using JAX pjit and TPUv4
J Yoo, K Perlin, SR Kamalakara, JGM Araújo
arXiv preprint arXiv:2204.06514, 2022
32022
Lifting the veil on hyper-parameters for value-based deep reinforcement learning
JGM Araújo, JSO Ceron, PS Castro
NeurIPS 2021 Workshop LatinX in AI, 2021
32021
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning
S Huang, Q Gallouédec, F Felten, A Raffin, RFJ Dossa, Y Zhao, ...
arXiv preprint arXiv:2402.03046, 2024
12024
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