| 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 | 174* | 2020 |
| Neural heterogeneity promotes robust learning N Perez-Nieves, VCH Leung, PL Dragotti, DFM Goodman Nature communications 12 (https://rdcu.be/cAuvh), 2021 | 166 | 2021 |
| 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 | 64* | 2023 |
| Sparse Spiking Gradient Descent N Perez-Nieves, DFM Goodman NeurIPS 2021, 2021 | 60 | 2021 |
| 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 | 59 | 2021 |
| Online Double Oracle SM McAleer, Z Tian, N Perez-Nieves, O Slumbers, DH Mguni, J Wang, ... Transactions on Machine Learning Research, 2022 | 29* | 2022 |
| Complex computation from developmental priors DL Barabási, T Beynon, Á Katona, N Perez-Nieves Nature Communications 14 (1), 2226, 2023 | 16 | 2023 |
| 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 | 16 | 2022 |
| 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 | 5* | 2021 |
| Spiking network initialisation and firing rate collapse N Perez-Nieves, DFM Goodman arXiv preprint arXiv:2305.08879, 2023 | 1 | 2023 |
| 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 |
