| Qplex: Duplex dueling multi-agent q-learning J Wang, Z Ren, T Liu, Y Yu, C Zhang International Conference on Learning Representations (ICLR), 2021 | 554 | 2021 |
| Multi-Agent Reinforcement Learning with Emergent Roles T Wang, H Dong, V Lesser, C Zhang International Conference on Machine Learning (ICML), 2020 | 267* | 2020 |
| Rode: Learning roles to decompose multi-agent tasks T Wang, T Gupta, A Mahajan, B Peng, S Whiteson, C Zhang International Conference on Learning Representations (ICLR), 2021 | 241 | 2021 |
| Coordinating multi-agent reinforcement learning with limited communication C Zhang, V Lesser Proceedings of the 2013 international conference on Autonomous agents and …, 2013 | 179 | 2013 |
| Multi-agent learning with policy prediction C Zhang, V Lesser Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 927-934, 2010 | 179 | 2010 |
| Influence-Based Multi-Agent Exploration T Wang, J Wang, Y Wu, C Zhang International Conference on Learning Representations (ICLR), 2020 | 177 | 2020 |
| Celebrating diversity in shared multi-agent reinforcement learning C Li, T Wang, C Wu, Q Zhao, J Yang, C Zhang Advances in Neural Information Processing Systems 34, 3991-4002, 2021 | 174 | 2021 |
| Learning Nearly Decomposable Value Functions Via Communication Minimization T Wang, J Wang, C Zheng, C Zhang International Conference on Learning Representations (ICLR), 2020 | 167 | 2020 |
| Dop: Off-policy multi-agent decomposed policy gradients Y Wang, B Han, T Wang, H Dong, C Zhang International conference on learning representations, 2020 | 147 | 2020 |
| Coordinated multi-agent reinforcement learning in networked distributed POMDPs C Zhang, V Lesser Proceedings of the AAAI conference on artificial intelligence 25 (1), 764-770, 2011 | 146 | 2011 |
| Episodic multi-agent reinforcement learning with curiosity-driven exploration L Zheng, J Chen, J Wang, J He, Y Hu, Y Chen, C Fan, Y Gao, C Zhang Advances in Neural Information Processing Systems 34, 3757-3769, 2021 | 98 | 2021 |
| Hierarchical reinforcement learning with advantage-based auxiliary rewards S Li, R Wang, M Tang, C Zhang Advances in Neural Information Processing Systems 32, 2019 | 94 | 2019 |
| RORL: Robust Offline Reinforcement Learning via Conservative Smoothing R Yang, C Bai, X Ma, Z Wang, C Zhang, L Han Neural Information Processing Systems (NeurIPS), 2022 | 91 | 2022 |
| Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL R Yang, Y Lu, W Li, H Sun, M Fang, Y Du, X Li, L Han, C Zhang International Conference on Learning Representations (ICLR), 2022 | 79 | 2022 |
| A survey on transformers in reinforcement learning W Li, H Luo, Z Lin, C Zhang, Z Lu, D Ye arXiv preprint arXiv:2301.03044, 2023 | 75 | 2023 |
| Fairness in multi-agent sequential decision-making C Zhang, JA Shah Advances in Neural Information Processing Systems 27, 2014 | 71 | 2014 |
| A Multi-Agent Learning Approach to Online Distributed Resource Allocation. C Zhang, VR Lesser, PJ Shenoy Ijcai 9, 361-366, 2009 | 71 | 2009 |
| Offline reinforcement learning with reverse model-based imagination J Wang, W Li, H Jiang, G Zhu, S Li, C Zhang Advances in Neural Information Processing Systems 34, 29420-29432, 2021 | 69 | 2021 |
| Multi-Agent Incentive Communication via Decentralized Teammate Modeling L Yuan, J Wang, F Zhang, C Wang, Z Zhang, Y Yu, C Zhang AAAI Conference on Artificial Intelligence (AAAI), 2022 | 68 | 2022 |
| Integrating organizational control into multi-agent learning C Zhang, S Abdallah, V Lesser Proceedings of The 8th International Conference on Autonomous Agents and …, 2009 | 67 | 2009 |
Victor LesserSchool of Computer Science, University of Massachusetts AmherstPatvirtintas el. paštas cs.umass.edu