| Trust region policy optimisation in multi-agent reinforcement learning JG Kuba, R Chen, M Wen, Y Wen, F Sun, J Wang, Y Yang 10th International Conference on Learning Representations, 2021 | 275 | 2021 |
| Multi-agent reinforcement learning is a sequence modeling problem M Wen, J Kuba, R Lin, W Zhang, Y Wen, J Wang, Y Yang Advances in Neural Information Processing Systems 35, 16509-16521, 2022 | 204 | 2022 |
| Offline pre-trained multi-agent decision transformer L Meng, M Wen, C Le, X Li, D Xing, W Zhang, Y Wen, H Zhang, J Wang, ... Machine Intelligence Research 20 (2), 233-248, 2023 | 109* | 2023 |
| Alphazero-like tree-search can guide large language model decoding and training X Feng, Z Wan, M Wen, Y Wen, W Zhang, J Wang ICML 2024, 2023 | 89 | 2023 |
| Settling the variance of multi-agent policy gradients JG Kuba, M Wen, L Meng, H Zhang, D Mguni, J Wang, Y Yang Advances in Neural Information Processing Systems 34, 13458-13470, 2021 | 72 | 2021 |
| Malib: A parallel framework for population-based multi-agent reinforcement learning M Zhou, Z Wan, H Wang, M Wen, R Wu, Y Wen, Y Yang, W Zhang, ... JMLR, 2021 | 60 | 2021 |
| Multi-agent constrained policy optimisation S Gu, JG Kuba, M Wen, R Chen, Z Wang, Z Tian, J Wang, A Knoll, Y Yang arXiv preprint arXiv:2110.02793, 2021 | 57 | 2021 |
| Large sequence models for sequential decision-making: a survey M Wen, R Lin, H Wang, Y Yang, Y Wen, L Mai, J Wang, H Zhang, ... Frontiers of Computer Science 17 (6), 176349, 2023 | 34 | 2023 |
| Openr: An open source framework for advanced reasoning with large language models J Wang, M Fang, Z Wan, M Wen, J Zhu, A Liu, Z Gong, Y Song, L Chen, ... arXiv preprint arXiv:2410.09671, 2024 | 11 | 2024 |
| Reinforcing LLM Agents via Policy Optimization with Action Decomposition M Wen, Z Wan, J Wang, W Zhang, Y Wen The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 7* | 2024 |
| Hammer: Robust function-calling for on-device language models via function masking Q Lin, M Wen, Q Peng, G Nie, J Liao, J Wang, X Mo, J Zhou, C Cheng, ... arXiv preprint arXiv:2410.04587, 2024 | 6 | 2024 |
| Safe Multiagent Learning With Soft Constrained Policy Optimization in Real Robot Control S Gu, D Huang, M Wen, G Chen, A Knoll IEEE Transactions on Industrial Informatics, 2024 | 4 | 2024 |
| Entropy-Regularized Token-Level Policy Optimization for Large Language Models M Wen, C Deng, J Wang, W Zhang, Y Wen arXiv preprint arXiv:2402.06700, 2024 | 4 | 2024 |
| RoMAT: Role-based multi-agent transformer for generalizable heterogeneous cooperation D Wang, F Zhong, M Wen, M Li, Y Peng, T Li, Y Yang Neural Networks, 106129, 2024 | 4 | 2024 |
| Autonomous goal detection and cessation in reinforcement learning: A case study on source term estimation Y Shi, M Wen, Q Zhang, W Zhang, C Liu, W Liu arXiv preprint arXiv:2409.09541, 2024 | 3 | 2024 |
| TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision R Zhou, Y Yang, M Wen, Y Wen, W Wang, C Xi, G Xu, Y Yu, W Zhang Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 3 | 2024 |
| Hammerbench: Fine-grained function-calling evaluation in real mobile device scenarios J Wang, J Zhou, M Wen, X Mo, H Zhang, Q Lin, C Jin, X Wang, W Zhang, ... arXiv preprint arXiv:2412.16516, 2024 | 1 | 2024 |
| P3: A Policy-Driven, Pace-Adaptive, and Diversity-Promoted Framework for Optimizing LLM Training Y Yang, H Wang, M Wen, W Zhang arXiv e-prints, arXiv: 2408.05541, 2024 | | 2024 |
| RDHNet: Addressing Rotational and Permutational Symmetries in Continuous Multi-Agent Systems D Wang, L Huang, M Wen, X Teng, T LI, M Li | | |
| Open-Ended Learning in General-Sum Games: The Role of Diversity in Correlated Equilibrium Z Zhao, M Wen, Y Wen, Y Yang | | |
Ying WenAssociate Professor, Shanghai Jiao Tong UniversityBestätigte E-Mail-Adresse bei sjtu.edu.cn