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Chao Yu 0004
Person information
- affiliation: Dalian University of Technology, School of Computer Science and Technology, China
- affiliation: Sun Yat-Sen University, School of Data and Computer Science, Guangzhou, China
- affiliation (PhD 2014): University of Wollongong, Australia
Other persons with the same name
- Chao Yu — disambiguation page
- Chao Yu 0001
— University of Virginia, Charlottesville, VA, USA (and 1 more)
- Chao Yu 0002
— Southeast University, School of Information Science and Engineering, Nanjing, China
- Chao Yu 0003
— Hunan Institute of Science and Technology, Yueyang, China (and 1 more)
- Chao Yu 0005
— Tsinghua University, China
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2020 – today
- 2024
- [j26]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): 720-731 (2024) - [i8]Xuejing Zheng, Chao Yu:
Multi-Agent Reinforcement Learning with a Hierarchy of Reward Machines. CoRR abs/2403.07005 (2024) - 2023
- [j25]Chao Yu, Jiming Liu, Shamim Nemati, Guosheng Yin:
Reinforcement Learning in Healthcare: A Survey. ACM Comput. Surv. 55(2): 5:1-5:36 (2023) - [j24]Chao Yu, Qikai Huang:
Towards more efficient and robust evaluation of sepsis treatment with deep reinforcement learning. BMC Medical Informatics Decis. Mak. 23(1): 43 (2023) - [j23]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): 2254-2268 (2023) - [c29]Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo:
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning. AAAI 2023: 10435-10443 - [c28]Wenxuan Zhu, Chao Yu, Qiang Zhang:
Causal Deep Reinforcement Learning Using Observational Data. IJCAI 2023: 4711-4719 - [i7]Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo:
Plan To Predict: Learning an Uncertainty-Foreseeing Model for Model-Based Reinforcement Learning. CoRR abs/2301.08502 (2023) - [i6]Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo:
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning. CoRR abs/2303.17984 (2023) - [i5]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 abs/2306.08359 (2023) - 2022
- [j22]Xuejing Zheng, Chao Yu
, Minjie Zhang
:
Lifelong reinforcement learning with temporal logic formulas and reward machines. Knowl. Based Syst. 257: 109650 (2022) - [j21]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): 12572-12587 (2022) - [c27]Zongkai Liu, Chao Yu, Yaodong Yang, Peng Sun, Zifan Wu, Yuan Li:
A Unified Diversity Measure for Multiagent Reinforcement Learning. NeurIPS 2022 - [c26]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 - [i4]Wenxuan Zhu, Chao Yu, Qiang Zhang:
Causal Deep Reinforcement Learning using Observational Data. CoRR abs/2211.15355 (2022) - 2021
- [c25]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: 105-117 - [i3]Xuejing Zheng, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo:
Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines. CoRR abs/2111.09475 (2021) - 2020
- [j20]Chao Yu, Guoqi Ren, Yinzhao Dong:
Supervised-actor-critic reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units. BMC Medical Informatics Decis. Mak. 20-S(3): 124 (2020) - [j19]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): 735-748 (2020) - [c24]Yinzhao Dong, Chao Yu, Paul Weng, Ahmed Maustafa, Hui Cheng, Hongwei Ge:
Decomposed Deep Reinforcement Learning for Robotic Control. AAMAS 2020: 1834-1836 - [c23]Chao Yu, Tianpei Yang, Wenxuan Zhu, Yinzhao Dong, Guangliang Li:
Interactive RL via Online Human Demonstrations. AAMAS 2020: 2065-2067 - [c22]Yinzhao Dong
, Chao Yu
, Hongwei Ge
:
D3PG: Decomposed Deep Deterministic Policy Gradient for Continuous Control. DAI 2020: 40-54 - [c21]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: 1-8
2010 – 2019
- 2019
- [j18]Bingcai Chen
, Zhongru Ren
, Chao Yu, Iftikhar Hussain, Jintao Liu:
Adversarial Examples for CNN-Based Malware Detectors. IEEE Access 7: 54360-54371 (2019) - [j17]Jiankang Ren, Zichuan Xu, Chao Yu, Chi Lin
, Guowei Wu, Guozhen Tan:
Execution allowance based fixed priority scheduling for probabilistic real-time systems. J. Syst. Softw. 152: 120-133 (2019) - [j16]Chao Yu, Yinzhao Dong, Jiming Liu, Guoqi Ren:
Incorporating causal factors into reinforcement learning for dynamic treatment regimes in HIV. BMC Medical Informatics Decis. Mak. 19-S(2): 19-29 (2019) - [j15]Chao Yu, Jiming Liu, Hongyi Zhao:
Inverse reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units. BMC Medical Informatics Decis. Mak. 19-S(2): 111-120 (2019) - [c20]Chao Yu, Xin Wang, Jianye Hao, Zhanbo Feng:
Reinforcement Learning for Cooperative Overtaking. AAMAS 2019: 341-349 - [c19]Chao Yu, Xin Wang, Zhanbo Feng:
Coordinated Multiagent Reinforcement Learning for Teams of Mobile Sensing Robots. AAMAS 2019: 2297-2299 - [c18]Jiankang Ren, Xiaoyan Su, Guoqi Xie, Chao Yu, Guozhen Tan, Guowei Wu:
Workload-Aware Harmonic Partitioned Scheduling of Periodic Real-Time Tasks with Constrained Deadlines. DAC 2019: 167 - [c17]Chao Yu, Guoqi Ren, Jiming Liu:
Deep Inverse Reinforcement Learning for Sepsis Treatment. ICHI 2019: 1-3 - [c16]Yaodong Yang
, Jianye Hao, Yan Zheng
, Chao Yu:
Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework. IJCAI 2019: 630-636 - [c15]Chao Yu, Guozhen Tan:
The Price of Governance: A Middle Ground Solution to Coordination in Organizational Control. IJCAI 2019: 651-657 - [c14]Hongwei Ge, Weiting Sun, Mingde Zhao, Kai Zhang, Liang Sun, Chao Yu:
Multi-Grained Cascade AdaBoost Extreme Learning Machine for Feature Representation. IJCNN 2019: 1-8 - [i2]Chao Yu, Jiming Liu, Shamim Nemati:
Reinforcement Learning in Healthcare: A Survey. CoRR abs/1908.08796 (2019) - 2018
- [j14]Bingcai Chen
, Zhenguo Gao, Manrou Yang, Qian Ning, Chao Yu, Weimin Pan, Mei Nian, Dongmei Xie:
Packet Multicast in Cognitive Radio Ad Hoc Networks: A Method Based on Random Network Coding. IEEE Access 6: 8768-8781 (2018) - [j13]Bingcai Chen
, Xin Tao
, Manrou Yang, Chao Yu, Weimin Pan, Victor C. M. Leung:
A Saliency Map Fusion Method Based on Weighted DS Evidence Theory. IEEE Access 6: 27346-27355 (2018) - [j12]Bingcai Chen, Xibao Wang, Chao Yu, Mei Nian, Xin Tao, Weimin Pan, Zhimao Lu:
基于被包围状态和马尔可夫模型的显著性检测 (Saliency Detection Based on Surroundedness and Markov Model). 计算机科学 45(10): 272-275 (2018) - [j11]Jianye Hao, Jun Sun
, Guangyong Chen, Zan Wang, Chao Yu, Zhong Ming:
Efficient and Robust Emergence of Norms through Heuristic Collective Learning. ACM Trans. Auton. Adapt. Syst. 12(4): 23:1-23:20 (2018) - [c13]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: 85-97 - [c12]Chao Yu, Dongxu Wang, Jiankang Ren, Hongwei Ge, Liang Sun:
Decentralized Multiagent Reinforcement Learning for Efficient Robotic Control by Coordination Graphs. PRICAI (1) 2018: 191-203 - [i1]Chao Yu, Tianpei Yang, Wenxuan Zhu, Dongxu Wang, Guangliang Li:
Learning Shaping Strategies in Human-in-the-loop Interactive Reinforcement Learning. CoRR abs/1811.04272 (2018) - 2017
- [j10]Caixia Song
, Guozhen Tan, Chao Yu, Nan Ding, Fuxin Zhang:
APDM: An adaptive multi-priority distributed multichannel MAC protocol for vehicular ad hoc networks in unsaturated conditions. Comput. Commun. 104: 119-133 (2017) - [j9]Caixia Song
, Guozhen Tan, Chao Yu:
An Efficient and QoS Supported Multichannel MAC Protocol for Vehicular Ad Hoc Networks. Sensors 17(10): 2293 (2017) - [j8]Fuxin Zhang, Guozhen Tan, Chao Yu, Nan Ding, Caixia Song, Ming-Jian Liu:
Fair Transmission Rate Adjustment in Cooperative Vehicle Safety Systems Based on Multi-Agent Model Predictive Control. IEEE Trans. Veh. Technol. 66(7): 6115-6129 (2017) - [c11]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: 40-45 - 2016
- [j7]Fuxin Zhang, Guozhen Tan, Chao Yu, Nan Ding, Caixia Song:
Model Reference Adaptive Power Control for Cooperative Vehicle Safety Systems. J. Inf. Sci. Eng. 32(2): 287-308 (2016) - [j6]Fuxin Zhang, Guozhen Tan, Chao Yu, Nan Ding, Ming-Jian Liu:
Fair Channel Access in Cooperative Vehicle Safety Systems. J. Inf. Sci. Eng. 32(5): 1219-1240 (2016) - [j5]Fuxin Zhang, Guozhen Tan, Chao Yu, Nan Ding, Caixia Song:
Dynamic Feedback Power Control for Cooperative Vehicle Safety Systems. Wirel. Pers. Commun. 90(1): 51-74 (2016) - [c10]Chao Yu, Hongtao Lv, Sandip Sen, Jianye Hao, Fenghui Ren, Rui Liu:
An Adaptive Learning Framework for Efficient Emergence of Social Norms: (Extended Abstract). AAMAS 2016: 1307-1308 - [c9]Tianpei Yang, Zhaopeng Meng, Jianye Hao, Sandip Sen, Chao Yu:
Accelerating Norm Emergence Through Hierarchical Heuristic Learning. ECAI 2016: 1344-1352 - [c8]Chao Yu, Hongtao Lv, Sandip Sen, Fenghui Ren
, Guozhen Tan:
Adaptive Learning for Efficient Emergence of Social Norms in Networked Multiagent Systems. PRICAI 2016: 805-818 - 2015
- [j4]Chao Yu, Minjie Zhang
, Fenghui Ren
, Guozhen Tan:
Multiagent Learning of Coordination in Loosely Coupled Multiagent Systems. IEEE Trans. Cybern. 45(12): 2853-2867 (2015) - [j3]Chao Yu, Minjie Zhang
, Fenghui Ren
, Guozhen Tan:
Emotional Multiagent Reinforcement Learning in Spatial Social Dilemmas. IEEE Trans. Neural Networks Learn. Syst. 26(12): 3083-3096 (2015) - [c7]Jianye Hao, Jun Sun, Dongping Huang, Yi Cai, Chao Yu:
Heuristic Collective Learning for Efficient and Robust Emergence of Social Norms. AAMAS 2015: 1647-1648 - [c6]Fenghui Ren
, Minjie Zhang
, Chao Yu:
A Multi-Agent Approach for Decentralized Voltage Regulation by Considering Distributed Generators. Australasian Conference on Artificial Intelligence 2015: 484-497 - [c5]Chao Yu, Hongtao Lv, Fenghui Ren
, Honglin Bao, Jianye Hao:
Hierarchical Learning for Emergence of Social Norms in Networked Multiagent Systems. Australasian Conference on Artificial Intelligence 2015: 630-643 - 2014
- [j2]Chao Yu, Minjie Zhang
, Fenghui Ren
:
Coordinated learning by exploiting sparse interaction in multiagent systems. Concurr. Comput. Pract. Exp. 26(1): 51-70 (2014) - [j1]Chao Yu, Minjie Zhang
, Fenghui Ren
:
Collective Learning for the Emergence of Social Norms in Networked Multiagent Systems. IEEE Trans. Cybern. 44(12): 2342-2355 (2014) - 2013
- [c4]Chao Yu, Minjie Zhang, Fenghui Ren, Xudong Luo:
Emergence of social norms through collective learning in networked agent societies. AAMAS 2013: 475-482 - [c3]Chao Yu, Minjie Zhang
, Fenghui Ren
:
Emotional Multiagent Reinforcement Learning in Social Dilemmas. PRIMA 2013: 372-387 - [p1]Chao Yu, Fenghui Ren
, Minjie Zhang
:
An Adaptive Bilateral Negotiation Model Based on Bayesian Learning. Complex Automated Negotiations 2013: 75-93 - 2012
- [c2]Chao Yu, Minjie Zhang
, Fenghui Ren
:
Exploiting Independent Relationships in Multiagent Systems for Coordinated Learning. PRICAI 2012: 686-697 - 2011
- [c1]Chao Yu, Minjie Zhang
, Fenghui Ren
:
Coordinated Learning for Loosely Coupled Agents with Sparse Interactions. Australasian Conference on Artificial Intelligence 2011: 392-401
Coauthor Index
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last updated on 2024-06-19 20:58 CEST by the dblp team
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