Shangdong Yang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 24

Top Topics

Contextual Bandit

Anomaly Detection

Reinforcement Learning

Credit Assignment

Top Venues

IEEE Trans. Cybern.

IEEE Intell. Syst.

Publications

Zhenxing Ge, Shangdong Yang, Pinzhuo Tian, Zixuan Chen, Yang Gao
Modeling Rationality: Toward Better Performance Against Unknown Agents in Sequential Games. IEEE Trans. Cybern. 54 (5) (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, 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)
Yunkai Zhuang, Yong Liu, Shangdong Yang, Yang Gao
Selective policy transfer in multi-agent systems with sparse interactions. Knowl. Based Syst. 300 (2024)
Hongye Cao, Shangdong Yang, Jing Huo, Xingguo Chen, Yang Gao
Enhancing OOD Generalization in Offline Reinforcement Learning with Energy-Based Policy Optimization. ECAI (2023)
Xiao Liu, Shuyang Liu, Bo An, Yang Gao, Shangdong Yang, Wenbin Li
Effective Interpretable Policy Distillation via Critical Experience Point Identification. IEEE Intell. Syst. 38 (5) (2023)
Xingguo Chen, Xingzhou Ma, Yang Li, Guang Yang, Shangdong Yang, Yang Gao
Modified Retrace for Off-Policy Temporal Difference Learning. UAI (2023)
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)
Wubing Chen, Wenbin Li, Xiao Liu, Shangdong Yang, Yang Gao
Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient. AAAI (2023)
Yunkai Zhuang, Shangdong Yang, Wenbin Li, Yang Gao
Convergence Analysis of Graphical Game-Based Nash Q-Learning using the Interaction Detection Signal of N-Step Return. ICASSP (2023)
Fan Meng, Qunli Yang, Zhengda He, Shangdong Yang, Weidong Tang
GUARD: Multigranularity-based Unsupervised Anomaly Detection Algorithm for Multivariate Time Series. CCIS (2022)
Yansheng Wu, Chengju Li, Shangdong Yang
New Galois hulls of generalized Reed-Solomon codes. Finite Fields Their Appl. 83 (2022)
Guang Yang, Xingguo Chen, Shangdong Yang, Huihui Wang, Shaokang Dong, Yang Gao
Online Attentive Kernel-Based Temporal Difference Learning. CoRR (2022)
Xiao Liu, Shuyang Liu, Wenbin Li, Shangdong Yang, Yang Gao
Keeping Minimal Experience to Achieve Efficient Interpretable Policy Distillation. CoRR (2022)
Wubing Chen, Wenbin Li, Xiao Liu, Shangdong Yang
Learning Credit Assignment for Cooperative Reinforcement Learning. CoRR (2022)
Shangdong Yang, Yang Gao
An Optimal Algorithm for the Stochastic Bandits While Knowing the Near-Optimal Mean Reward. IEEE Trans. Neural Networks Learn. Syst. 32 (5) (2021)
Shangdong Yang, Hao Wang, Chenyu Zhang, Yang Gao
Contextual Bandits With Hidden Features to Online Recommendation via Sparse Interactions. IEEE Intell. Syst. 35 (5) (2020)
Chenyu Zhang, Hao Wang, Shangdong Yang, Yang Gao
A Contextual Bandit Approach to Personalized Online Recommendation via Sparse Interactions. PAKDD (2) (2019)
Shangdong Yang, Hao Wang, Yang Gao, Xingguo Chen
An Optimal Algorithm for the Stochastic Bandits with Knowing Near-optimal Mean Reward. AAMAS (2018)
Shangdong Yang, Yang Gao, Bo An, Hao Wang, Xingguo Chen
Efficient Average Reward Reinforcement Learning Using Constant Shifting Values. AAAI (2016)
Chenyu Zhang, Hao Wang, Shangdong Yang, Yang Gao
Incremental Nonnegative Matrix Factorization Based on Matrix Sketching and k-means Clustering. IDEAL (2016)