Jiangcheng Zhu

According to our database, Jiangcheng Zhu authored at least 22 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Self-Supervised MAFENN for Classifying Low-Labeled Distorted Images Over Mobile Fading Channels.

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

IEEE Trans. Mob. Comput., August, 2024

An Empirical Study on Google Research Football Multi-agent Scenarios.

Yan Song, He Jiang, Zheng Tian, Haifeng Zhang, Yingping Zhang, Jiangcheng Zhu, Zonghong Dai, Weinan Zhang, Jun Wang

Mach. Intell. Res., June, 2024

CTDS: Centralized Teacher With Decentralized Student for Multiagent Reinforcement Learning.

Jian Zhao, Xunhan Hu, Mingyu Yang, Wengang Zhou, Jiangcheng Zhu, Houqiang Li

IEEE Trans. Games, March, 2024

Yi: Open Foundation Models by 01.AI.

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

CoRR, 2024

2023

ASN: action semantics network for multiagent reinforcement learning.

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

Auton. Agents Multi Agent Syst., October, 2023

JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games.

Yang Li, Kun Xiong, Yingping Zhang, Jiangcheng Zhu, Stephen Marcus McAleer, Wei Pan, Jun Wang, Zonghong Dai, Yaodong Yang

Trans. Mach. Learn. Res., 2023

Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection.

Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning to Shape Rewards Using a Game of Two Partners.

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement Learning.

Jian Zhao, Xunhan Hu, Mingyu Yang, Wengang Zhou, Jiangcheng Zhu, Houqiang Li

CoRR, 2022

Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization.

Jian Zhao, Yue Zhang, Xunhan Hu, Weixun Wang, Wengang Zhou, Jianye Hao, Jiangcheng Zhu, Houqiang Li

CoRR, 2022

LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning.

Mingyu Yang, Jian Zhao, Xunhan Hu, Wengang Zhou, Jiangcheng Zhu, Houqiang Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning.

David Henry Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Oliver Slumbers, Feifei Tong, Yang Li, Jiangcheng Zhu, Yaodong Yang, Jun Wang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

An Optimal Resource Allocator of Elastic Training for Deep Learning Jobs on Cloud.

Liang Hu, Jiangcheng Zhu, Zirui Zhou, Ruiqing Cheng, Xiaolong Bai, Yong Zhang

CoRR, 2021

Learning to Shape Rewards using a Game of Switching Controls.

David Mguni, Jianhong Wang, Taher Jafferjee, Nicolas Perez Nieves, Wenbin Song, Yaodong Yang, Feifei Tong, Hui Chen, Jiangcheng Zhu, Yali Du, Jun Wang

CoRR, 2021

Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention.

Yunkun Xu, Zhenyu Liu, Guifang Duan, Jiangcheng Zhu, Xiaolong Bai, Jianrong Tan

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2019

Hierarchical Decision and Control for Continuous Multitarget Problem: Policy Evaluation With Action Delay.

Jiangcheng Zhu, Jun Zhu, Zhepei Wang, Shan Guo, Chao Xu

IEEE Trans. Neural Networks Learn. Syst., 2019

Object detection and localization in 3D environment by fusing raw fisheye image and attitude data.

Jun Zhu, Jiangcheng Zhu, Xudong Wan, Chao Wu, Chao Xu

J. Vis. Commun. Image Represent., 2019

Model error correction in data assimilation by integrating neural networks.

Jiangcheng Zhu, Shuang Hu, Rossella Arcucci, Chao Xu, Jihong Zhu, Yike Guo

Big Data Min. Anal., 2019

Exploratory Analysis for Big Social Data Using Deep Network.

Chao Wu, Guolong Wang, Jiangcheng Zhu, Piyawat Lertvittayakumjorn, Simon Hu, Chilie Tan, Hong Mi, Yadan Xu, Jun Xiao

IEEE Access, 2019

2018

Downside Hemisphere Object Detection and Localization of MAV by Fisheye Camera.

Jun Zhu, Jiangcheng Zhu, Xudong Wan, Chao Xu

Proceedings of the 15th International Conference on Control, 2018

2017

Air-to-ground shepherd problem: An action-delay reinforcement learning approach.

Jiangcheng Zhu, Chao Xu

Proceedings of the 2017 American Control Conference, 2017

2016

A testbed for aerial robots formation flight.

Jun Zhu, Jiangcheng Zhu, Chao Xu

Proceedings of the IEEE International Conference on Information and Automation, 2016