Chao Yu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

Reinforcement Learning

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Xingzhou Lou, Junge Zhang, Yali Du, Chao Yu, Zhaofeng He, Kaiqi Huang
Leveraging Joint-Action Embedding in Multiagent Reinforcement Learning for Cooperative Games. IEEE Trans. Games 16 (2) (2024)
Xuejing Zheng, Chao Yu
Multi-Agent Reinforcement Learning with a Hierarchy of Reward Machines. CoRR (2024)
Tianyu Zeng, Xiaoxi Zhang, Jingpu Duan, Chao Yu, Chuan Wu, Xu Chen
An Offline-Transfer-Online Framework for Cloud-Edge Collaborative Distributed Reinforcement Learning. IEEE Trans. Parallel Distributed Syst. 35 (5) (2024)
Xuechen Mu, Hankz Hankui Zhuo, Chen Chen, Kai Zhang, Chao Yu, Jianye Hao
Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning. CoRR (2023)
Chao Yu, Qikai Huang
Towards more efficient and robust evaluation of sepsis treatment with deep reinforcement learning. BMC Medical Informatics Decis. Mak. 23 (1) (2023)
Haiyin Piao, Yue Han, Shaoming He, Chao Yu, Songyuan Fan, Yaqing Hou, Chengchao Bai, Li Mo
Spatiotemporal Relationship Cognitive Learning for Multirobot Air Combat. IEEE Trans. Cogn. Dev. Syst. 15 (4) (2023)
Wenxuan Zhu, Chao Yu, Qiang Zhang
Causal Deep Reinforcement Learning Using Observational Data. IJCAI (2023)
Zongkai Liu, Chao Yu, Yaodong Yang, Peng Sun, Zifan Wu, Yuan Li
A Unified Diversity Measure for Multiagent Reinforcement Learning. NeurIPS (2022)
Hongwei Ge, Dongwan Gao, Liang Sun, Yaqing Hou, Chao Yu, Yuxin Wang, Guozhen Tan
Multi-Agent Transfer Reinforcement Learning With Multi-View Encoder for Adaptive Traffic Signal Control. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo
Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning. NeurIPS (2022)
Xuejing Zheng, Chao Yu, Minjie Zhang
Lifelong reinforcement learning with temporal logic formulas and reward machines. Knowl. Based Syst. 257 (2022)
Wenxuan Zhu, Chao Yu, Qiang Zhang
Causal Deep Reinforcement Learning using Observational Data. CoRR (2022)
Xiangyu Liu, Chao Yu, Qikai Huang, Luhao Wang, Jianfeng Wu, Xiangdong Guan
Combining Model-Based and Model-Free Reinforcement Learning Policies for More Efficient Sepsis Treatment. ISBRA (2021)
Chao Yu, Xin Wang, Xin Xu, Minjie Zhang, Hongwei Ge, Jiankang Ren, Liang Sun, Bingcai Chen, Guozhen Tan
Distributed Multiagent Coordinated Learning for Autonomous Driving in Highways Based on Dynamic Coordination Graphs. IEEE Trans. Intell. Transp. Syst. 21 (2) (2020)
Yinzhao Dong, Chao Yu, Hongwei Ge
D3PG: Decomposed Deep Deterministic Policy Gradient for Continuous Control. DAI (2020)
Hongwei Ge, Kai Zhang, Yaqing Hou, Chao Yu, Mingde Zhao, Zhen Wang, Liang Sun
Two-stage Automatic Image Annotation Based on Latent Semantic Scene Classification. IJCNN (2020)
Yinzhao Dong, Chao Yu, Paul Weng, Ahmed Maustafa, Hui Cheng, Hongwei Ge
Decomposed Deep Reinforcement Learning for Robotic Control. AAMAS (2020)
Hongwei Ge, Weiting Sun, Mingde Zhao, Kai Zhang, Liang Sun, Chao Yu
Multi-Grained Cascade AdaBoost Extreme Learning Machine for Feature Representation. IJCNN (2019)
Chao Yu, Dongxu Wang, Tianpei Yang, Wenxuan Zhu, Yuchen Li, Hongwei Ge, Jiankang Ren
Adaptively Shaping Reinforcement Learning Agents via Human Reward. PRICAI (1) (2018)
Chao Yu, Dongxu Wang, Jiankang Ren, Hongwei Ge, Liang Sun
Decentralized Multiagent Reinforcement Learning for Efficient Robotic Control by Coordination Graphs. PRICAI (1) (2018)
Chao Yu, Yatong Chen, Hongtao Lv, Jiankang Ren, Hongwei Ge, Liang Sun
Neural learning for the emergence of social norms in multiagent systems. ICA (2017)