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2020 – today
- 2024
[j6]Yuxiao Ye, Hao Wang
, Chi Harold Liu, Zipeng Dai, Guozheng Li, Guoren Wang, Jian Tang:
QoI-Aware Mobile Crowdsensing for Metaverse by Multi-Agent Deep Reinforcement Learning. IEEE J. Sel. Areas Commun. 42(3): 783-798 (2024)- [j5]Hao Wang, Bo Tang, Chi Harold Liu, Shangqin Mao, Jiahong Zhou, Zipeng Dai, Yaqi Sun, Qianlong Xie, Xingxing Wang, Dong Wang:
HiBid: A Cross-Channel Constrained Bidding System With Budget Allocation by Hierarchical Offline Deep Reinforcement Learning. IEEE Trans. Computers 73(3): 815-828 (2024) - [j4]Tianze Zhou, Fubiao Zhang, Kun Shao, Zipeng Dai, Kai Li, Wenhan Huang, Weixun Wang, Bin Wang, Dong Li, Wulong Liu, Jianye Hao:
Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition. IEEE Trans. Games 16(2): 352-364 (2024) - [i4]Zhen Chen, Yong Liao, Youpeng Zhao, Zipeng Dai, Jian Zhao:
CuDA2: An approach for Incorporating Traitor Agents into Cooperative Multi-Agent Systems. CoRR abs/2406.17425 (2024) - 2023
- [j3]Zipeng Dai, Chi Harold Liu, Rui Han, Guoren Wang, Kin K. Leung, Jian Tang:
Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning. IEEE Trans. Mob. Comput. 22(4): 2038-2052 (2023) - [c10]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 - [c9]Yuxiao Ye, Chi Harold Liu, Zipeng Dai, Jianxin Zhao, Ye Yuan, Guoren Wang, Jian Tang:
Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning. ICDE 2023: 205-217 - [c8]Chi Harold Liu, Yu Wang, Chengzhe Piao, Zipeng Dai, Ye Yuan, Guoren Wang, Dapeng Wu:
Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM (Extended abstract). ICDE 2023: 3861-3862 - [c7]David Henry Mguni, Aivar Sootla, Juliusz Ziomek, Oliver Slumbers, Zipeng Dai, Kun Shao, Jun Wang:
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints. ICLR 2023 - [i3]Hao Wang, Bo Tang, Chi Harold Liu, Shangqin Mao, Jiahong Zhou, Zipeng Dai, Yaqi Sun, Qianlong Xie, Xingxing Wang, Dong Wang:
HiBid: A Cross-Channel Constrained Bidding System with Budget Allocation by Hierarchical Offline Deep Reinforcement Learning. CoRR abs/2312.17503 (2023) - 2022
- [j2]Chi Harold Liu, Yu Wang, Chengzhe Piao, Zipeng Dai, Ye Yuan, Guoren Wang, Dapeng Wu:
Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM. IEEE Trans. Knowl. Data Eng. 34(5): 2472-2484 (2022) - [c6]Zipeng Dai, Tianze Zhou, Kun Shao, David Henry Mguni, Bin Wang, Jianye Hao:
Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System. CoRL 2022: 946-955 - [c5]Zipeng Dai, Chi Harold Liu, Yuxiao Ye, Rui Han, Ye Yuan, Guoren Wang, Jian Tang:
AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning. INFOCOM 2022: 1029-1038 - [i2]David Mguni, Aivar Sootla, Juliusz Krysztof Ziomek, Oliver Slumbers, Zipeng Dai, Kun Shao, Jun Wang:
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints. CoRR abs/2205.15953 (2022) - [i1]Taher Jafferjee, Juliusz Krysztof Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang, David Mguni:
Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded Training. CoRR abs/2209.01054 (2022) - 2021
- [j1]Chi Harold Liu, Zipeng Dai, Yinuo Zhao, Jon Crowcroft, Dapeng Wu, Kin K. Leung:
Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning. IEEE Trans. Mob. Comput. 20(1): 130-146 (2021) - [c4]Zipeng Dai, Hao Wang, Chi Harold Liu, Rui Han, Jian Tang, Guoren Wang:
Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach. INFOCOM 2021: 1-10 - [c3]Hao Wang, Chi Harold Liu, Zipeng Dai, Jian Tang, Guoren Wang:
Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning. KDD 2021: 3679-3687 - 2020
- [c2]Chi Harold Liu, Yinuo Zhao, Zipeng Dai, Ye Yuan, Guoren Wang, Dapeng Wu, Kin K. Leung:
Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach. ICDE 2020: 25-36 - [c1]Chi Harold Liu, Zipeng Dai, Haoming Yang, Jian Tang:
Multi-Task-Oriented Vehicular Crowdsensing: A Deep Learning Approach. INFOCOM 2020: 1123-1132
Coauthor Index
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last updated on 2024-08-16 18:30 CEST by the dblp team
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