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Changxi Zhu
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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
68*2024
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
282019
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
24*2021
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
182020
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
142021
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, 1-11, 2020
142020
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
92021
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
22022
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
2023
Continuous Communication with Factorized Policy Gradients in Multi-agent Deep Reinforcement Learning
C Zhu, M Dastani, S Wang
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Articles 1–10