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Nicolas Perez-Nieves
Nicolas Perez-Nieves
Research Engineer, DeepMind
在 google.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
Smarts: Scalable multi-agent reinforcement learning training school for autonomous driving
M Zhou, J Luo, J Villella, Y Yang, D Rusu, J Miao, W Zhang, M Alban, ...
Conference on Robotic Learning 2020 (Best System Paper Award), 2020
189*2020
Neural heterogeneity promotes robust learning
N Perez-Nieves, VCH Leung, PL Dragotti, DFM Goodman
Nature communications 12 (https://rdcu.be/cAuvh), 2021
1812021
Human-timescale adaptation in an open-ended task space
J Bauer, K Baumli, F Behbahani, A Bhoopchand, N Bradley-Schmieg, ...
International Conference on Machine Learning, 1887-1935, 2023
80*2023
Sparse Spiking Gradient Descent
N Perez-Nieves, DFM Goodman
NeurIPS 2021, 2021
752021
Modelling Behavioural Diversity for Learning in Open-Ended Games
N Perez-Nieves, Y Yang, O Slumbers, DH Mguni, Y Wen, J Wang
International Conference on Machine Learning (ICML 2021, Long Oral), 8514-8524, 2021
602021
Online Double Oracle
SM McAleer, Z Tian, N Perez-Nieves, O Slumbers, DH Mguni, J Wang, ...
Transactions on Machine Learning Research, 2022
28*2022
Complex computation from developmental priors
DL Barabási, T Beynon, Á Katona, N Perez-Nieves
Nature Communications 14 (1), 2226, 2023
212023
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning
DH Mguni, T Jafferjee, J Wang, N Perez-Nieves, O Slumbers, F Tong, Y Li, ...
ICLR 2022, 2022
172022
Learning to shape rewards using a game of switching controls
D Mguni, J Wang, T Jafferjee, N Perez-Nieves, W Song, Y Yang, F Tong, ...
arXiv preprint arXiv:2103.09159, 2021
6*2021
Spiking network initialisation and firing rate collapse
N Perez-Nieves, DFM Goodman
arXiv preprint arXiv:2305.08879, 2023
22023
Apparatus and method for automated reward shaping
D Mguni, NP NIEVES, J Wang
US Patent App. 18/365,818, 2024
2024
Generalisation of frequency mixing and temporal interference phenomena through Volterra analysis
DFMG N Perez-Nieves
Computational Neuroscience Conference (CNS), 2019
2019
Advantages of heterogeneity of parameters in spiking neural network training
N Perez-Nieves, VCH Leung, PL Dragotti, DFM Goodman
Cognitive Computational Neuroscience, 2019
2019
Quantitative simplification of detailed microcircuit demonstrates the limitations to common point-neuron assumptions
EM CA Rössert, G Chindemi, A Davison, D Rodarie, N Perez-Nieves, Christian ...
Computational Neuroscience Conference (CNS), Long Oral, 2018
2018
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