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2020 – today
- 2024
[j9]Yan Song
, He Jiang, Zheng Tian, Haifeng Zhang, Yingping Zhang, Jiangcheng Zhu, Zonghong Dai, Weinan Zhang, Jun Wang:
An Empirical Study on Google Research Football Multi-agent Scenarios. Mach. Intell. Res. 21(3): 549-570 (2024)- [j8]Jian Zhao, Xunhan Hu, Mingyu Yang, Wengang Zhou, Jiangcheng Zhu, Houqiang Li:
CTDS: Centralized Teacher With Decentralized Student for Multiagent Reinforcement Learning. IEEE Trans. Games 16(1): 140-150 (2024) - [j7]Yang Li, Fanglei Sun, Jingchen Hu, Chang Liu, Fan Wu, Kai Li, Ying Wen, Zheng Tian, Yaodong Yang, Jiangcheng Zhu, Zhifeng Chen, Jun Wang, Yang Yang:
Self-Supervised MAFENN for Classifying Low-Labeled Distorted Images Over Mobile Fading Channels. IEEE Trans. Mob. Comput. 23(8): 8077-8091 (2024) - [i12]Alex Young, Bei Chen, Chao Li, Chengen Huang, Ge Zhang, Guanwei Zhang, Heng Li, Jiangcheng Zhu, Jianqun Chen, Jing Chang, Kaidong Yu, Peng Liu, Qiang Liu, Shawn Yue, Senbin Yang, Shiming Yang, Tao Yu, Wen Xie, Wenhao Huang, Xiaohui Hu, Xiaoyi Ren, Xinyao Niu, Pengcheng Nie, Yuchi Xu, Yudong Liu, Yue Wang, Yuxuan Cai, Zhenyu Gu, Zhiyuan Liu, Zonghong Dai:
Yi: Open Foundation Models by 01.AI. CoRR abs/2403.04652 (2024) - [i11]Guangxin He, Zonghong Dai, Jiangcheng Zhu, Binqiang Zhao, Chenyue Li, You Peng, Chen Wang, Binhang Yuan:
Zero-Indexing Internet Search Augmented Generation for Large Language Models. CoRR abs/2411.19478 (2024) - 2023
- [j6]Tianpei Yang, Weixun Wang, Jianye Hao, Matthew E. Taylor, Yong Liu, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Chunxu Ren, Ye Huang, Jiangcheng Zhu, Yang Gao:
ASN: action semantics network for multiagent reinforcement learning. Auton. Agents Multi Agent Syst. 37(2): 45 (2023) - [j5]Yang Li, Kun Xiong, Yingping Zhang, Jiangcheng Zhu, Stephen Marcus McAleer, Wei Pan, Jun Wang, Zonghong Dai, Yaodong Yang:
JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games. Trans. Mach. Learn. Res. 2023 (2023) - [c8]David Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Wenbin Song, Feifei Tong, Matthew E. Taylor, Tianpei Yang, Zipeng Dai, Hui Chen, Jiangcheng Zhu, Kun Shao, Jun Wang, Yaodong Yang:
Learning to Shape Rewards Using a Game of Two Partners. AAAI 2023: 11604-11612 - [c7]Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia:
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection. ICLR 2023 - [i10]Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia:
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection. CoRR abs/2305.05239 (2023) - [i9]Yan Song, He Jiang, Zheng Tian, Haifeng Zhang, Yingping Zhang, Jiangcheng Zhu, Zonghong Dai, Weinan Zhang, Jun Wang:
An Empirical Study on Google Research Football Multi-agent Scenarios. CoRR abs/2305.09458 (2023) - [i8]Yang Li, Kun Xiong, Yingping Zhang, Jiangcheng Zhu, Stephen McAleer, Wei Pan, Jun Wang, Zonghong Dai, Yaodong Yang:
JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games. CoRR abs/2308.04719 (2023) - 2022
- [c6]David Henry Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Oliver Slumbers, Feifei Tong, Yang Li, Jiangcheng Zhu, Yaodong Yang, Jun Wang:
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning. ICLR 2022 - [c5]Mingyu Yang, Jian Zhao, Xunhan Hu, Wengang Zhou, Jiangcheng Zhu, Houqiang Li:
LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning. NeurIPS 2022 - [i7]Jian Zhao, Yue Zhang, Xunhan Hu, Weixun Wang, Wengang Zhou, Jianye Hao, Jiangcheng Zhu, Houqiang Li:
Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization. CoRR abs/2202.04427 (2022) - [i6]Jian Zhao, Xunhan Hu, Mingyu Yang, Wengang Zhou, Jiangcheng Zhu, Houqiang Li:
CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement Learning. CoRR abs/2203.08412 (2022) - [i5]Mingyu Yang, Jian Zhao, Xunhan Hu, Wengang Zhou, Jiangcheng Zhu, Houqiang Li:
LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2205.02561 (2022) - 2021
- [c4]Yunkun Xu, Zhenyu Liu, Guifang Duan, Jiangcheng Zhu, Xiaolong Bai, Jianrong Tan:
Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention. CoRL 2021: 332-341 - [i4]David Mguni, Jianhong Wang, Taher Jafferjee, Nicolas Perez Nieves, Wenbin Song, Yaodong Yang, Feifei Tong, Hui Chen, Jiangcheng Zhu, Yali Du, Jun Wang:
Learning to Shape Rewards using a Game of Switching Controls. CoRR abs/2103.09159 (2021) - [i3]Liang Hu, Jiangcheng Zhu, Zirui Zhou, Ruiqing Cheng, Xiaolong Bai, Yong Zhang:
An Optimal Resource Allocator of Elastic Training for Deep Learning Jobs on Cloud. CoRR abs/2109.03389 (2021) - [i2]Yunkun Xu, Zhenyu Liu, Guifang Duan, Jiangcheng Zhu, Xiaolong Bai, Jianrong Tan:
Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention. CoRR abs/2111.05819 (2021) - [i1]David Henry Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Oliver Slumbers, Feifei Tong, Yang Li, Jiangcheng Zhu, Yaodong Yang, Jun Wang:
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning. CoRR abs/2112.02618 (2021)
2010 – 2019
- 2019
- [j4]Chao Wu, Guolong Wang, Jiangcheng Zhu, Piyawat Lertvittayakumjorn, Simon Hu, Chilie Tan, Hong Mi, Yadan Xu, Jun Xiao:
Exploratory Analysis for Big Social Data Using Deep Network. IEEE Access 7: 21446-21453 (2019) - [j3]Jiangcheng Zhu, Shuang Hu, Rossella Arcucci, Chao Xu, Jihong Zhu, Yike Guo:
Model error correction in data assimilation by integrating neural networks. Big Data Min. Anal. 2(2): 83-91 (2019) - [j2]Jun Zhu, Jiangcheng Zhu, Xudong Wan, Chao Wu, Chao Xu:
Object detection and localization in 3D environment by fusing raw fisheye image and attitude data. J. Vis. Commun. Image Represent. 59: 128-139 (2019) - [j1]Jiangcheng Zhu, Jun Zhu, Zhepei Wang, Shan Guo, Chao Xu:
Hierarchical Decision and Control for Continuous Multitarget Problem: Policy Evaluation With Action Delay. IEEE Trans. Neural Networks Learn. Syst. 30(2): 464-473 (2019) - 2018
- [c3]Jun Zhu, Jiangcheng Zhu, Xudong Wan, Chao Xu:
Downside Hemisphere Object Detection and Localization of MAV by Fisheye Camera. ICARCV 2018: 532-537 - 2017
- [c2]Jiangcheng Zhu, Chao Xu:
Air-to-ground shepherd problem: An action-delay reinforcement learning approach. ACC 2017: 3771-3776 - 2016
- [c1]Jun Zhu, Jiangcheng Zhu, Chao Xu:
A testbed for aerial robots formation flight. ICIA 2016: 1183-1188
Coauthor Index
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