| Individual-level inverse reinforcement learning for mean field games Y Chen, L Zhang, J Liu, S Hu arXiv preprint arXiv:2202.06401, 2022 | 13 | 2022 |
| Adversarial inverse reinforcement learning for mean field games Y Chen, L Zhang, J Liu, M Witbrock arXiv preprint arXiv:2104.14654, 2021 | 8 | 2021 |
| An agent-based approach to simulate post-earthquake indoor crowd evacuation L Ni, V Gonzalez, J Liu, A Rahouti, L Zhang, BP Taing PRIMA 2018: Principles and Practice of Multi-Agent Systems: 21st …, 2018 | 4 | 2018 |
| Lexicographic ranking supermartingales with lazy lower bounds T Takisaka, L Zhang, C Wang, J Liu International Conference on Computer Aided Verification, 420-442, 2024 | 2 | 2024 |
| Learning Density-Based Correlated Equilibria for Markov Games L Zhang, Y Chen, T Takisaka, B Khoussainov, M Witbrock, J Liu arXiv preprint arXiv:2302.08001, 2023 | 1 | 2023 |
| Integrated Private Data Trading Systems for Data Marketplaces W Li, M Zhang, L Zhang, J Liu ECAI 2023, 1422-1429, 2023 | 1 | 2023 |
| Optimizing Resource Distribution Towards Energy Justice in Resilient Smart Grids L Zhang, Y Wu, W Li, S Yang, Y Chen, K Zhao, J Liu Principle and Practice of Data and Knowledge Acquisition Workshop, 236-245, 2024 | | 2024 |
| Epic-Level Text Generation with LLM through Auto-prompted Reinforcement Learning Q Qi, L Ni, Z Wang, L Zhang, J Liu, M Witbrock 2024 International Joint Conference on Neural Networks (IJCNN), 1-8, 2024 | | 2024 |
| Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables Y Chen, X Lin, B Yan, L Zhang, J Liu, NÖ Tan, M Witbrock Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11407 …, 2024 | | 2024 |
| Optimizing Resource Distribution Towards Energy Justice in Resilient L Zhang, Y Wu, W Li, S Yang, Y Chen, K Zhao Knowledge Management and Acquisition for Intelligent Systems: 20th Principle …, 2024 | | 2024 |
