| A survey of multi-agent deep reinforcement learning with communication C Zhu, M Dastani, S Wang Autonomous Agents and Multi-Agent Systems 38 (1), 4, 2024 | 99* | 2024 |
| A q-values sharing framework for multi-agent reinforcement learning under budget constraint C Zhu, HF Leung, S Hu, Y Cai ACM Transactions on Autonomous and Adaptive Systems (TAAS) 15 (2), 1-28, 2021 | 30* | 2021 |
| Recognizing conflict opinions in aspect-level sentiment classification with dual attention networks X Tan, Y Cai, C Zhu Proceedings of the 2019 conference on empirical methods in natural language …, 2019 | 30 | 2019 |
| Learning by reusing previous advice in teacher-student paradigm C Zhu, Y Cai, H Leung, S Hu Proceedings of the 19th International Conference on Autonomous Agents and …, 2020 | 19 | 2020 |
| Detecting dependency-related sentiment features for aspect-level sentiment classification X Zhang, J Xu, Y Cai, X Tan, C Zhu IEEE Transactions on Affective Computing 14 (1), 196-210, 2021 | 18 | 2021 |
| Machine Learning Algorithms Identify Pathogen‐Specific Biomarkers of Clinical and Metabolomic Characteristics in Septic Patients with Bacterial Infections L Zheng, F Lin, C Zhu, G Liu, X Wu, Z Wu, J Zheng, H Xia, Y Cai, H Liang BioMed research international 2020 (1), 6950576, 2020 | 14 | 2020 |
| Efficient dialogue complementary policy learning via deep q-network policy and episodic memory policy Y Zhao, Z Wang, C Zhu, S Wang Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 10 | 2021 |
| A Versatile Adaptive Curriculum Learning Framework for Task-oriented Dialogue Policy Learning Y Zhao, H Qin, W Zhenyu, C Zhu, S Wang Findings of the Association for Computational Linguistics: NAACL 2022, 711-723, 2022 | 3 | 2022 |
| Learning by reusing previous advice: a memory-based teacher–student framework C Zhu, Y Cai, S Hu, H Leung, DKW Chiu Autonomous Agents and Multi-Agent Systems 37 (1), 14, 2023 | 1 | 2023 |
| Continuous Communication with Factorized Policy Gradients in Multi-agent Deep Reinforcement Learning C Zhu, M Dastani, S Wang | | |
