| Large deviations for Markov processes with resetting JM Meylahn, S Sabhapandit, H Touchette Physical Review E 92 (6), 062148, 2015 | 106 | 2015 |
| Properties of additive functionals of Brownian motion with resetting F Den Hollander, SN Majumdar, JM Meylahn, H Touchette Journal of Physics A: Mathematical and Theoretical 52 (17), 175001, 2019 | 63 | 2019 |
| Learning to collude in a pricing duopoly JM Meylahn, A V. den Boer Manufacturing & Service Operations Management 24 (5), 2577-2594, 2022 | 29 | 2022 |
| Artificial Collusion: Examining Supracompetitive Pricing by Q-Learning Algorithms AV den Boer, JM Meylahn, MP Schinkel Amsterdam Law School Research Paper, 2022 | 21 | 2022 |
| Intrinsic fluctuations of reinforcement learning promote cooperation W Barfuss, JM Meylahn Scientific Reports 13 (1), 1309, 2023 | 19 | 2023 |
| Limiting dynamics for Q-learning with memory one in symmetric two-player, two-action games JM Meylahn, L Janssen Complexity 2022, 2022 | 17 | 2022 |
| Two-community noisy Kuramoto model JM Meylahn Nonlinearity 33, 1847-1880, 2020 | 13 | 2020 |
| Two-Community Noisy Kuramoto Model Suggests Mechanism for Splitting in the Suprachiasmatic Nucleus JHT Rohling, JM Meylahn Journal of Biological Rhythms 35 (2), 158-166, 2020 | 11 | 2020 |
| Synchronization of phase oscillators on the hierarchical lattice D Garlaschelli, F den Hollander, JM Meylahn, B Zeegers Journal of Statistical Physics 174 (1), 188-218, 2019 | 7 | 2019 |
| Biofilament interacting with molecular motors JM Meylahn Stellenbosch: Stellenbosch University, 2015 | 6 | 2015 |
| Two-community noisy Kuramoto model with general interaction strengths. II S Achterhof, JM Meylahn Chaos: An Interdisciplinary Journal of Nonlinear Science 31 (3), 2021 | 4 | 2021 |
| Quantifying the likelihood of learning collusive strategy equilibria JM Meylahn Available at SSRN 4589989, 2023 | 2* | 2023 |
| Algorithmic Collusion: Where Are We and Where Should We Be Going? I Abada, JE Harrington Jr, X Lambin, JM Meylahn Available at SSRN 4891033, 2024 | 1 | 2024 |
| Reduced Plasticity in Coupling Strength in the Aging SCN Clock as Revealed by Kuramoto Modeling AW van Beurden, JM Meylahn, S Achterhof, R Buijink, A Olde Engberink, ... Journal of Biological Rhythms 38 (5), 461-475, 2023 | 1 | 2023 |
| Risk aversion promotes cooperation J Armas, W Merbis, J Meylahn, SR Rad, MJ del Razo arXiv preprint arXiv:2306.05971, 2023 | 1 | 2023 |
| How social reinforcement learning can lead to metastable polarisation and the voter model BV Meylahn, JM Meylahn arXiv preprint arXiv:2406.07993, 2024 | | 2024 |
| Does an Intermediate Price Facilitate Algorithmic Collusion? JM Meylahn Available at SSRN 4594415, 2023 | | 2023 |
| Two-community noisy Kuramoto model with general interaction strengths. I S Achterhof, J Meylahn Chaos: An Interdisciplinary Journal of Nonlinear Science 31 (3), 033115, 2021 | | 2021 |
| Stochastic resetting and hierarchical synchronization JM Meylahn Leiden University, 2019 | | 2019 |
| Inter-continental school of geometry and topology in soft matter, optics and biological systems: I-CAMP’14’s review F Alimagham, M Dyliński, AH Gelebart, KJ Jakubowski, J Meylahn, ... Liquid Crystals Today 24 (1), 15-24, 2015 | | 2015 |
Hugo TouchetteStellenbosch University在 sun.ac.za 的电子邮件经过验证
