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Shaokang Dong
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2020 – today
- 2024
- [j8]Shaokang Dong, Chao Li, Shangdong Yang, Wenbin Li, Yang Gao:
Decentralized Counterfactual Value with Threat Detection for Multi-Agent Reinforcement Learning in mixed cooperative and competitive environments. Expert Syst. Appl. 257: 125116 (2024) - [j7]Shaokang Dong, Chao Li, Shangdong Yang, Bo An, Wenbin Li, Yang Gao:
Egoism, utilitarianism and egalitarianism in multi-agent reinforcement learning. Neural Networks 178: 106544 (2024) - [j6]Shaokang Dong, Jiangfan Feng, Dongxu Fang:
A Novel Multiscale Contrastive Learning Network for Fine-Grained Ocean Ship Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 9989-10005 (2024) - [j5]Shaokang Dong, Hangyu Mao, Shangdong Yang, Shengyu Zhu, Wenbin Li, Jianye Hao, Yang Gao:
WToE: Learning When to Explore in Multiagent Reinforcement Learning. IEEE Trans. Cybern. 54(8): 4789-4801 (2024) - [c7]Chao Li, Yupeng Zhang, Jianqi Wang, Yujing Hu, Shaokang Dong, Wenbin Li, Tangjie Lv, Changjie Fan, Yang Gao:
Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning. AAAI 2024: 17453-17460 - [c6]Shaokang Dong, Chao Li, Wubing Chen, Hongye Cao, Wenbin Li, Yang Gao:
Multi-Agent Exploration via Self-Learning and Social Learning. ICASSP 2024: 5055-5059 - [c5]Chao Li, Shaokang Dong, Shangdong Yang, Hongye Cao, Wenbin Li, Yang Gao:
Multi-Agent Sparse Interaction Modeling is an Anomaly Detection Problem. ICASSP 2024: 5890-5894 - 2023
- [j4]Shangdong Yang, Huihui Wang, Shaokang Dong, Xingguo Chen:
Leveraging transition exploratory bonus for efficient exploration in Hard-Transiting reinforcement learning problems. Future Gener. Comput. Syst. 145: 442-453 (2023) - [j3]Xingguo Chen, Guang Yang, Shangdong Yang, Huihui Wang, Shaokang Dong, Yang Gao:
Online attentive kernel-based temporal difference learning. Knowl. Based Syst. 278: 110902 (2023) - 2022
- [j2]Wenjin Xu, Shaokang Dong:
Application of Artificial Intelligence in an Unsupervised Algorithm for Trajectory Segmentation Based on Multiple Motion Features. Wirel. Commun. Mob. Comput. 2022: 9540944:1-9540944:11 (2022) - [c4]Chao Li, Yujing Hu, Pinzhuo Tian, Shaokang Dong, Yang Gao:
DDMA: Discrepancy-Driven Multi-agent Reinforcement Learning. PRICAI (3) 2022: 91-105 - [i1]Guang Yang, Xingguo Chen, Shangdong Yang, Huihui Wang, Shaokang Dong, Yang Gao:
Online Attentive Kernel-Based Temporal Difference Learning. CoRR abs/2201.09065 (2022) - 2020
- [c3]Pinzhuo Tian, Lei Qi, Shaokang Dong, Yinghuan Shi, Yang Gao:
Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge. IJCAI 2020: 2718-2724
2010 – 2019
- 2019
- [c2]Hao Wang, Shaokang Dong, Ling Shao:
Measuring Structural Similarities in Finite MDPs. IJCAI 2019: 3684-3690 - 2018
- [j1]Wenbo Chen, Pan Zhou, Shaokang Dong, Shimin Gong, Menglan Hu, Kehao Wang, Dapeng Oliver Wu:
Tree-Based Contextual Learning for Online Job or Candidate Recommendation With Big Data Support in Professional Social Networks. IEEE Access 6: 77725-77739 (2018) - 2017
- [c1]Shaokang Dong, Zijian Lei, Pan Zhou, Kaigui Bian, Guanghui Liu:
Job and Candidate Recommendation with Big Data Support: A Contextual Online Learning Approach. GLOBECOM 2017: 1-7
Coauthor Index
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last updated on 2024-09-10 01:13 CEST by the dblp team
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