| Modelling the Dynamics of Regret Minimization in Large Agent Populations: a Master Equation Approach. Z Wang, C Mu, S Hu, C Chu, X Li IJCAI, 534-540, 2022 | 123 | 2022 |
| Emergence of punishment in social dilemma with environmental feedback Z Wang, Z Song, C Shen, S Hu Proceedings of the AAAI Conference on Artificial Intelligence 37 (10), 11708 …, 2023 | 36 | 2023 |
| A Formal Model for Multiagent Q-Learning Dynamics on Regular Graphs. C Chu, Y Li, J Liu, S Hu, X Li, Z Wang IJCAI, 194-200, 2022 | 36 | 2022 |
| Modelling the dynamics of multiagent q-learning in repeated symmetric games: a mean field theoretic approach S Hu, C Leung, H Leung Advances in Neural Information Processing Systems 32, 2019 | 36 | 2019 |
| Achieving Coordination in Multi-Agent Systems by Stable Local Conventions under Community Networks. S Hu, H Leung Ijcai, 4731-4737, 2017 | 32* | 2017 |
| Learning by reusing previous advice in teacher-student paradigm C Zhu, Y Cai, H Leung, S Hu Proceedings of the 19th International Conference on Autonomous Agents and …, 2020 | 22 | 2020 |
| Emergence of social norms in generative agent societies: principles and architecture S Ren, Z Cui, R Song, Z Wang, S Hu arXiv preprint arXiv:2403.08251, 2024 | 21* | 2024 |
| A Q-values sharing framework for multiple independent Q-learners. C Zhu, H Leung, S Hu, Y Cai AAMAS, 2324-2326, 2019 | 20 | 2019 |
| Individual-level inverse reinforcement learning for mean field games Y Chen, L Zhang, J Liu, S Hu arXiv preprint arXiv:2202.06401, 2022 | 16 | 2022 |
| How committed individuals shape social dynamics: a survey on coordination games and social dilemma games C Shen, H Guo, S Hu, L Shi, Z Wang, J Tanimoto Europhysics Letters 144 (1), 11002, 2023 | 15 | 2023 |
| Facilitating cooperation in human-agent hybrid populations through autonomous agents H Guo, C Shen, S Hu, J Xing, P Tao, Y Shi, Z Wang Iscience 26 (11), 2023 | 13 | 2023 |
| A q-values sharing framework for multi-agent reinforcement learning under budget constraint C Zhu, HF Leung, S Hu, Y Cai ACM Transactions on Autonomous and Adaptive Systems (TAAS) 15 (2), 1-28, 2021 | 12 | 2021 |
| Gist trace-based learning: Efficient convention emergence from multilateral interactions S Hu, CW Leung, HF Leung, J Liu ACM Transactions on Autonomous and Adaptive Systems (TAAS) 16 (1), 1-20, 2022 | 10* | 2022 |
| The dynamics of q-learning in population games: A physics-inspired continuity equation model S Hu, CW Leung, H Leung, H Soh arXiv preprint arXiv:2203.01500, 2022 | 9 | 2022 |
| The best of both worlds in network population games: Reaching consensus and convergence to equilibrium S Hu, H Soh, G Piliouras Advances in Neural Information Processing Systems 36, 77149-77173, 2023 | 7* | 2023 |
| The evolutionary dynamics of independent learning agents in population games S Hu, CW Leung, H Leung, H Soh arXiv preprint arXiv:2006.16068, 2020 | 7 | 2020 |
| Do Social Norms Emerge? The Evolution of Agents' Decisions with the Awareness of Social Values under Iterated Prisoner's Dilemma S Hu, H Leung 2018 IEEE 12th international conference on self-adaptive and self-organizing …, 2018 | 7 | 2018 |
| Multi-agent, human–agent and beyond: A survey on cooperation in social dilemmas C Mu, H Guo, Y Chen, C Shen, D Hu, S Hu, Z Wang Neurocomputing 610, 128514, 2024 | 6 | 2024 |
| Oasis: Open agents social interaction simulations on one million agents Z Yang, Z Zhang, Z Zheng, Y Jiang, Z Gan, Z Wang, Z Ling, J Chen, M Ma, ... arXiv preprint arXiv:2411.11581, 2024 | 5 | 2024 |
| Compromise as a way to promote convention emergence and to reduce social unfairness in multi-agent systems S Hu, H Leung AI 2018: Advances in Artificial Intelligence: 31st Australasian Joint …, 2018 | 4 | 2018 |
Ho-fung LeungIndependent Researcher在 cuhk.edu.hk 的电子邮件经过验证