| Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games X Liu, H Jia, Y Wen, Y Hu, Y Chen, C Fan, Z Hu, Y Yang Advances in Neural Information Processing Systems 34, 941-952, 2021 | 59* | 2021 |
| Do LLM Agents Have Regret? A Case Study in Online Learning and Games C Park*, X Liu*, A Ozdaglar, K Zhang arXiv preprint arXiv:2403.16843, 2024 | 4 | 2024 |
| Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations Y Liang, Y Sun, R Zheng, X Liu, T Sandholm, F Huang, S McAleer The Twelfth International Conference on Learning Representations, 2023 | 4 | 2023 |
| Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL X Liu, S Chakraborty, Y Sun, F Huang The Twelfth International Conference on Learning Representations, 2023 | 2* | 2023 |
| Partially observable multi-agent RL with (quasi-) efficiency: the blessing of information sharing X Liu, K Zhang International Conference on Machine Learning, 22370-22419, 2023 | 2 | 2023 |
| Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies X Liu, C Deng, Y Sun, Y Liang, F Huang The Twelfth International Conference on Learning Representations, 2023 | 1 | 2023 |
