Shangdong Yang

According to our database, Shangdong Yang authored at least 25 papers between 2016 and 2024.

Collaborative distances:

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

2024

Learning Multi-Intersection Traffic Signal Control via Coevolutionary Multi-Agent Reinforcement Learning.

Wubing Chen, Shangdong Yang, Wenbin Li, Yujing Hu, Xiao Liu, Yang Gao

IEEE Trans. Intell. Transp. Syst., November, 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

Modeling Rationality: Toward Better Performance Against Unknown Agents in Sequential Games.

Zhenxing Ge, Shangdong Yang, Pinzhuo Tian, Zixuan Chen, Yang Gao

IEEE Trans. Cybern., May, 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

Selective policy transfer in multi-agent systems with sparse interactions.

Yunkai Zhuang, Yong Liu, Shangdong Yang, Yang Gao

Knowl. Based Syst., 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

STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations.

Chao Li, Yujing Hu, Shangdong Yang, Tangjie Lv, Changjie Fan, Wenbin Li, Chongjie Zhang, Yang Gao

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 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

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

Effective Interpretable Policy Distillation via Critical Experience Point Identification.

Xiao Liu, Shuyang Liu, Bo An, Yang Gao, Shangdong Yang, Wenbin Li

IEEE Intell. Syst., 2023

Modified Retrace for Off-Policy Temporal Difference Learning.

Xingguo Chen, Xingzhou Ma, Yang Li, Guang Yang, Shangdong Yang, Yang Gao

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Convergence Analysis of Graphical Game-Based Nash Q-Learning using the Interaction Detection Signal of N-Step Return.

Yunkai Zhuang, Shangdong Yang, Wenbin Li, Yang Gao

Proceedings of the IEEE International Conference on Acoustics, 2023

Enhancing OOD Generalization in Offline Reinforcement Learning with Energy-Based Policy Optimization.

Hongye Cao, Shangdong Yang, Jing Huo, Xingguo Chen, Yang Gao

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient.

Wubing Chen, Wenbin Li, Xiao Liu, Shangdong Yang, Yang Gao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

New Galois hulls of generalized Reed-Solomon codes.

Yansheng Wu, Chengju Li, Shangdong Yang

Finite Fields Their Appl., 2022

Learning Credit Assignment for Cooperative Reinforcement Learning.

Wubing Chen, Wenbin Li, Xiao Liu, Shangdong Yang

CoRR, 2022

Keeping Minimal Experience to Achieve Efficient Interpretable Policy Distillation.

Xiao Liu, Shuyang Liu, Wenbin Li, Shangdong Yang, Yang Gao

CoRR, 2022

GUARD: Multigranularity-based Unsupervised Anomaly Detection Algorithm for Multivariate Time Series.

Fan Meng, Qunli Yang, Zhengda He, Shangdong Yang, Weidong Tang

Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

2021

An Optimal Algorithm for the Stochastic Bandits While Knowing the Near-Optimal Mean Reward.

Shangdong Yang, Yang Gao

IEEE Trans. Neural Networks Learn. Syst., 2021

2020

Contextual Bandits With Hidden Features to Online Recommendation via Sparse Interactions.

Shangdong Yang, Hao Wang, Chenyu Zhang, Yang Gao

IEEE Intell. Syst., 2020

2019

A Contextual Bandit Approach to Personalized Online Recommendation via Sparse Interactions.

Chenyu Zhang, Hao Wang, Shangdong Yang, Yang Gao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

2018

An Optimal Algorithm for the Stochastic Bandits with Knowing Near-optimal Mean Reward.

Shangdong Yang, Hao Wang, Yang Gao, Xingguo Chen

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2016

Incremental Nonnegative Matrix Factorization Based on Matrix Sketching and k-means Clustering.

Chenyu Zhang, Hao Wang, Shangdong Yang, Yang Gao

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

Efficient Average Reward Reinforcement Learning Using Constant Shifting Values.

Shangdong Yang, Yang Gao, Bo An, Hao Wang, Xingguo Chen

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016