Unified reinforcement Q-learning for mean field game and control problems A Angiuli, JP Fouque, M Laurière Mathematics of Control, Signals, and Systems, 1-55, 2022 | 61 | 2022 |
Reinforcement learning for mean field games, with applications to economics A Angiuli, JP Fouque, M Lauriere arXiv preprint arXiv:2106.13755, 2021 | 37* | 2021 |
Cemracs 2017: numerical probabilistic approach to MFG A Angiuli, CV Graves, H Li, JF Chassagneux, F Delarue, R Carmona ESAIM: Proceedings and Surveys 65, 84-113, 2019 | 32 | 2019 |
Reinforcement Learning Algorithm for Mixed Mean Field Control Games A Angiuli, N Detering, JP Fouque, J Lin arXiv preprint arXiv:2205.02330, 2022 | 9 | 2022 |
Reinforcement Learning for Intra-and-Inter-Bank Borrowing and Lending Mean Field Control Game J Lin, A Angiuli, N Detering, JP Fouque, M Laurière 3rd ACM International Conference on AI in Finance, 369-376, 2022 | 5 | 2022 |
Deep Reinforcement Learning for Infinite Horizon Mean Field Problems in Continuous Spaces A Angiuli, JP Fouque, R Hu, A Raydan arXiv preprint arXiv:2309.10953, 2023 | 4* | 2023 |
Convergence of Multi-Scale Reinforcement Q-Learning Algorithms for Mean Field Game and Control Problems A Angiuli, JP Fouque, M Laurière, M Zhang arXiv preprint arXiv:2312.06659, 2023 | 2 | 2023 |
Reinforcement Learning for Mean Field Games and Mean Field Control problems A Angiuli University of California, Santa Barbara, 2021 | | 2021 |