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ORCIDYiqun Chen 0004
Person information
- affiliation: Renmin University of China, Gaoling School of AI, Beijing, China
- affiliation: Chinese Academy of Sciences, Institute of Automation, Beijing, China
- affiliation: University of Chinese Academy of Sciences, School of Artificial Intelligence, Beijing, China
Other persons with the same name
- Yiqun Chen — disambiguation page
- Yiqun Chen 0001
![[0000-0002-4100-1507]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-4100-1507")
(aka: Yiqun T. Chen 0001) — University of Washington, Department of Biostatistics, Seattle, WA, USA (and 1 more) - Yiqun Chen 0002 — University of Melbourne, Centre for Spatial Data Infrastructures and Land Administration, VIC, Australia (and 1 more)
- Yiqun Chen 0003 — Yangtze University, Key Laboratory of Exploration Technologies for Oil and Gas Resources, JingZhou, China
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2020 – today
- 2024
[c5]Hangyu Mao, Rui Zhao, Ziyue Li, Zhiwei Xu, Hao Chen, Yiqun Chen, Bin Zhang, Zhen Xiao, Junge Zhang, Jiangjin Yin:
PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning. AAMAS 2024: 1363-1371- [c4]Yiqun Chen, Hangyu Mao, Jiaxin Mao, Shiguang Wu, Tianle Zhang, Bin Zhang, Wei Yang, Hongxing Chang:
PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning. IJCAI 2024: 31-39 - [i5]Yiqun Chen, Jiaxin Mao, Yi Zhang, Dehong Ma, Long Xia, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin:
MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification. CoRR abs/2403.17421 (2024) - [i4]Yiqun Chen, Qi Liu, Yi Zhang, Weiwei Sun, Daiting Shi, Jiaxin Mao, Dawei Yin:
TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy. CoRR abs/2406.11678 (2024) - 2023
- [i3]Hangyu Mao, Rui Zhao, Ziyue Li, Zhiwei Xu, Hao Chen, Yiqun Chen, Bin Zhang, Zhen Xiao, Junge Zhang, Jiangjin Yin:
PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning. CoRR abs/2312.15863 (2023) - 2022
- [c3]Bin Zhang, Zhiwei Xu, Yiqun Chen, Dapeng Li, Yunpeng Bai, Guoliang Fan, Lijuan Li:
Multi-Agent Hyper-Attention Policy Optimization. ICONIP (1) 2022: 76-87 - [c2]Yiqun Chen, Wei Yang, Tianle Zhang, Shiguang Wu, Hongxing Chang:
Commander-Soldiers Reinforcement Learning for Cooperative Multi-Agent Systems. IJCNN 2022: 1-7 - [i2]Yiqun Chen, Hangyu Mao, Tianle Zhang, Shiguang Wu, Bin Zhang, Jianye Hao, Dong Li, Bin Wang, Hongxing Chang:
PTDE: Personalized Training with Distillated Execution for Multi-Agent Reinforcement Learning. CoRR abs/2210.08872 (2022) - [i1]Hangyu Mao, Rui Zhao, Hao Chen, Jianye Hao, Yiqun Chen, Dong Li, Junge Zhang, Zhen Xiao:
Transformer in Transformer as Backbone for Deep Reinforcement Learning. CoRR abs/2212.14538 (2022) - 2021
- [c1]Wei Yang, Xinxin Fan, Yiqun Chen, Feimo Li, Hongxing Chang:
An Effective Implicit Multi-interest Interaction Network for Recommendation. ICONIP (4) 2021: 680-691
Coauthor Index
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