Shaokang Dong

According to our database, Shaokang Dong authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

WToE: Learning When to Explore in Multiagent Reinforcement Learning.

Shaokang Dong, Hangyu Mao, Shangdong Yang, Shengyu Zhu, Wenbin Li, Jianye Hao, Yang Gao

IEEE Trans. Cybern., August, 2024

A Novel Multiscale Contrastive Learning Network for Fine-Grained Ocean Ship Classification.

Shaokang Dong, Jiangfan Feng, Dongxu Fang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Egoism, utilitarianism and egalitarianism in multi-agent reinforcement learning.

Shaokang Dong, Chao Li, Shangdong Yang, Bo An, Wenbin Li, Yang Gao

Neural Networks, 2024

Decentralized Counterfactual Value with Threat Detection for Multi-Agent Reinforcement Learning in mixed cooperative and competitive environments.

Shaokang Dong, Chao Li, Shangdong Yang, Wenbin Li, Yang Gao

Expert Syst. Appl., 2024

Multi-Agent Sparse Interaction Modeling is an Anomaly Detection Problem.

Chao Li, Shaokang Dong, Shangdong Yang, Hongye Cao, Wenbin Li, Yang Gao

Proceedings of the IEEE International Conference on Acoustics, 2024

Multi-Agent Exploration via Self-Learning and Social Learning.

Shaokang Dong, Chao Li, Wubing Chen, Hongye Cao, Wenbin Li, Yang Gao

Proceedings of the IEEE International Conference on Acoustics, 2024

Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning.

Chao Li, Yupeng Zhang, Jianqi Wang, Yujing Hu, Shaokang Dong, Wenbin Li, Tangjie Lv, Changjie Fan, Yang Gao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Online attentive kernel-based temporal difference learning.

Xingguo Chen, Guang Yang, Shangdong Yang, Huihui Wang, Shaokang Dong, Yang Gao

Knowl. Based Syst., October, 2023

Leveraging transition exploratory bonus for efficient exploration in Hard-Transiting reinforcement learning problems.

Shangdong Yang, Huihui Wang, Shaokang Dong, Xingguo Chen

Future Gener. Comput. Syst., August, 2023

2022

Application of Artificial Intelligence in an Unsupervised Algorithm for Trajectory Segmentation Based on Multiple Motion Features.

Wenjin Xu, Shaokang Dong

Wirel. Commun. Mob. Comput., 2022

DDMA: Discrepancy-Driven Multi-agent Reinforcement Learning.

Chao Li, Yujing Hu, Pinzhuo Tian, Shaokang Dong, Yang Gao

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

2020

Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge.

Pinzhuo Tian, Lei Qi, Shaokang Dong, Yinghuan Shi, Yang Gao

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Measuring Structural Similarities in Finite MDPs.

Hao Wang, Shaokang Dong, Ling Shao

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Tree-Based Contextual Learning for Online Job or Candidate Recommendation With Big Data Support in Professional Social Networks.

Wenbo Chen, Pan Zhou, Shaokang Dong, Shimin Gong, Menglan Hu, Kehao Wang, Dapeng Oliver Wu

IEEE Access, 2018

2017

Job and Candidate Recommendation with Big Data Support: A Contextual Online Learning Approach.

Shaokang Dong, Zijian Lei, Pan Zhou, Kaigui Bian, Guanghui Liu

Proceedings of the 2017 IEEE Global Communications Conference, 2017