| Qplex: Duplex dueling multi-agent q-learning J Wang, Z Ren, T Liu, Y Yu, C Zhang International Conference on Learning Representations (ICLR), 2021 | 439 | 2021 |
| Multi-Agent Reinforcement Learning with Emergent Roles T Wang, H Dong, V Lesser, C Zhang International Conference on Machine Learning (ICML), 2020 | 220* | 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 | 196 | 2021 |
| Coordinating multi-agent reinforcement learning with limited communication C Zhang, V Lesser Proceedings of the 2013 international conference on Autonomous agents and …, 2013 | 172 | 2013 |
| Multi-agent learning with policy prediction C Zhang, V Lesser Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 927-934, 2010 | 169 | 2010 |
| Influence-Based Multi-Agent Exploration T Wang, J Wang, Y Wu, C Zhang International Conference on Learning Representations (ICLR), 2020 | 146 | 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 | 137 | 2011 |
| 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 | 130 | 2021 |
| Learning Nearly Decomposable Value Functions Via Communication Minimization T Wang, J Wang, C Zheng, C Zhang International Conference on Learning Representations (ICLR), 2020 | 128 | 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 | 117 | 2020 |
| Hierarchical reinforcement learning with advantage-based auxiliary rewards S Li, R Wang, M Tang, C Zhang Advances in Neural Information Processing Systems 32, 2019 | 82 | 2019 |
| A multi-agent learning approach to online distributed resource allocation C Zhang, V Lesser, P Shenoy Twenty-first international joint conference on artificial intelligence, 2009 | 70 | 2009 |
| 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 | 69 | 2021 |
| Integrating organizational control into multi-agent learning C Zhang, S Abdallah, V Lesser Proceedings of The 8th International Conference on Autonomous Agents and …, 2009 | 68 | 2009 |
| Off-policy multi-agent decomposed policy gradients Y Wang, B Han, T Wang, H Dong, C Zhang International Conference on Learning Representations (ICLR), 2021 | 61 | 2021 |
| 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 | 59 | 2022 |
| Fairness in multi-agent sequential decision-making C Zhang, JA Shah Advances in Neural Information Processing Systems 27, 2014 | 58 | 2014 |
| Self-organization for coordinating decentralized reinforcement learning. C Zhang, VR Lesser, S Abdallah AAMAS 10, 739-746, 2010 | 56 | 2010 |
| 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 | 55 | 2022 |
| An optimal online method of selecting source policies for reinforcement learning S Li, C Zhang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 54 | 2018 |
Victor LesserSchool of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
