Shaokang Dong

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 16

Top Topics

Stochastic Games

Anomaly Detection

Reinforcement Learning

Top Venues

IEEE Trans. Cybern.

Publications

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)
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 (2024)
Chao Li, Shaokang Dong, Shangdong Yang, Hongye Cao, Wenbin Li, Yang Gao
Multi-Agent Sparse Interaction Modeling is an Anomaly Detection Problem. ICASSP (2024)
Shaokang Dong, Chao Li, Wubing Chen, Hongye Cao, Wenbin Li, Yang Gao
Multi-Agent Exploration via Self-Learning and Social Learning. ICASSP (2024)
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 (2024)
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) (2024)
Shaokang Dong, Chao Li, Shangdong Yang, Bo An, Wenbin Li, Yang Gao
Egoism, utilitarianism and egalitarianism in multi-agent reinforcement learning. Neural Networks 178 (2024)
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 (2023)
Xingguo Chen, Guang Yang, Shangdong Yang, Huihui Wang, Shaokang Dong, Yang Gao
Online attentive kernel-based temporal difference learning. Knowl. Based Syst. 278 (2023)
Chao Li, Yujing Hu, Pinzhuo Tian, Shaokang Dong, Yang Gao
DDMA: Discrepancy-Driven Multi-agent Reinforcement Learning. PRICAI (3) (2022)
Guang Yang, Xingguo Chen, Shangdong Yang, Huihui Wang, Shaokang Dong, Yang Gao
Online Attentive Kernel-Based Temporal Difference Learning. CoRR (2022)
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 (2022)
Pinzhuo Tian, Lei Qi, Shaokang Dong, Yinghuan Shi, Yang Gao
Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge. IJCAI (2020)
Hao Wang, Shaokang Dong, Ling Shao
Measuring Structural Similarities in Finite MDPs. IJCAI (2019)
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 (2018)
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)