Shangdong Yang

42 papers A* 4A 3C 1Misc 2Journal 29Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A unified and efficient training framework for open-ended non-transitive games. Neural Networks Shaokang Dong, Chao Li, Shangdong Yang, Hongye Cao, Wanqi Yang, Yang Gao
2026	J	`jnl`	Bellman error centering. Neural Networks Xingguo Chen, Yu Gong, Jinguo Ye, Chao Li, Shangdong Yang, Wenhao Wang
2026	J	`jnl`	Bitboard version of Tetris AI. CoRR Xingguo Chen, Pingshou Xiong, Zhenyu Luo, Mengfei Hu, Xinwen Li, Yongzhou Lü, Guang Yang, Chao Li, Shangdong Yang
2026	J	`jnl`	MAPG IEEE Internet Things J. Shangdong Yang, Jin Ma, Hongye Cao, Xingguo Chen, Yansheng Wu, Gongzhi Luo
2026	J	`jnl`	OpenGuanDan: A Large-Scale Imperfect Information Game Benchmark. CoRR Chao Li, Shangdong Yang, Chiheng Zhan, Zhenxing Ge, Yujing Hu, Bingkun Bao, Xingguo Chen, Yang Gao
2025	J	`jnl`	AGC-Drive: A Large-Scale Dataset for Real-World Aerial-Ground Collaboration in Driving Scenarios. CoRR Yunhao Hou, Bochao Zou, Min Zhang, Ran Chen, Shangdong Yang, Yanmei Zhang, Junbao Zhuo, Siheng Chen, Jiansheng Chen, Huimin Ma
2025	J	`jnl`	Bellman Error Centering. CoRR Xingguo Chen, Yu Gong, Shangdong Yang, Wenhao Wang
2025	A*	`conf`	Beyond Mandatory Federations: Balancing Egoism, Utilitarianism and Egalitarianism in Mixed-Motive Games. AAAI Shaokang Dong, Chao Li, Shangdong Yang, Hongye Cao, Wanqi Yang, Yang Gao
2025	J	`jnl`	Coordinating Multi-Agent Reinforcement Learning via Dual Collaborative Constraints. Neural Networks Chao Li, Shaokang Dong, Shangdong Yang, Yujing Hu, Wenbin Li, Yang Gao
2025	J	`jnl`	DISTA-Net: Dynamic Closely-Spaced Infrared Small Target Unmixing. CoRR Shengdong Han, Shangdong Yang, Xin Zhang, Yuxuan Li, Xiang Li, Jian Yang, Ming-Ming Cheng, Yimian Dai
2025	J	`jnl`	Linear Complementary Dual Codes Constructed from Reinforcement Learning. J. Syst. Sci. Complex. Yansheng Wu, Jin Ma, Shangdong Yang
2025	J	`jnl`	Model-Based Offline Reinforcement Learning with Adversarial Data Augmentation. CoRR Hongye Cao, Fan Feng, Jing Huo, Shangdong Yang, Meng Fang, Tianpei Yang, Yang Gao
2025	J	`jnl`	Multi-Task Multi-Agent Reinforcement Learning With Interaction and Task Representations. IEEE Trans. Neural Networks Learn. Syst. Chao Li, Shaokang Dong, Shangdong Yang, Yujing Hu, Tianyu Ding, Wenbin Li, Yang Gao
2025	J	`jnl`	State Abstraction via Deep Supervised Hash Learning. IEEE Trans. Neural Networks Learn. Syst. Guang Yang, Zheng Xu, Jing Huo, Shangdong Yang, Tianyu Ding, Xingguo Chen, Yang Gao
2024	J	`jnl`	A Variance Minimization Approach to Temporal-Difference Learning. CoRR Xingguo Chen, Yu Gong, Shangdong Yang, Wenhao Wang
2024	J	`jnl`	Decentralized Counterfactual Value with Threat Detection for Multi-Agent Reinforcement Learning in mixed cooperative and competitive environments. Expert Syst. Appl. Shaokang Dong, Chao Li, Shangdong Yang, Wenbin Li, Yang Gao
2024	J	`jnl`	Egoism, utilitarianism and egalitarianism in multi-agent reinforcement learning. Neural Networks Shaokang Dong, Chao Li, Shangdong Yang, Bo An, Wenbin Li, Yang Gao
2024	—	`conf`	Gaussian Blur Optimization Method: Linear Texture Filtering Under Gaussian Function Separation. CISP-BMEI Shangdong Yang, Jue Wu
2024	J	`jnl`	Learning Multi-Intersection Traffic Signal Control via Coevolutionary Multi-Agent Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. Wubing Chen, Shangdong Yang, Wenbin Li, Yujing Hu, Xiao Liu, Yang Gao
2024	J	`jnl`	Modeling Rationality: Toward Better Performance Against Unknown Agents in Sequential Games. IEEE Trans. Cybern. Zhenxing Ge, Shangdong Yang, Pinzhuo Tian, Zixuan Chen, Yang Gao
2024	Misc	`conf`	Multi-Agent Sparse Interaction Modeling is an Anomaly Detection Problem. ICASSP Chao Li, Shaokang Dong, Shangdong Yang, Hongye Cao, Wenbin Li, Yang Gao
2024	A*	`conf`	STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations. IJCAI Chao Li, Yujing Hu, Shangdong Yang, Tangjie Lv, Changjie Fan, Wenbin Li, Chongjie Zhang, Yang Gao
2024	J	`jnl`	Selective policy transfer in multi-agent systems with sparse interactions. Knowl. Based Syst. Yunkai Zhuang, Yong Liu, Shangdong Yang, Yang Gao
2024	J	`jnl`	WToE: Learning When to Explore in Multiagent Reinforcement Learning. IEEE Trans. Cybern. Shaokang Dong, Hangyu Mao, Shangdong Yang, Shengyu Zhu, Wenbin Li, Jianye Hao, Yang Gao
2023	Misc	`conf`	Convergence Analysis of Graphical Game-Based Nash Q-Learning using the Interaction Detection Signal of N-Step Return. ICASSP Yunkai Zhuang, Shangdong Yang, Wenbin Li, Yang Gao
2023	J	`jnl`	Effective Interpretable Policy Distillation via Critical Experience Point Identification. IEEE Intell. Syst. Xiao Liu, Shuyang Liu, Bo An, Yang Gao, Shangdong Yang, Wenbin Li
2023	A	`conf`	Enhancing OOD Generalization in Offline Reinforcement Learning with Energy-Based Policy Optimization. ECAI Hongye Cao, Shangdong Yang, Jing Huo, Xingguo Chen, Yang Gao
2023	A*	`conf`	Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient. AAAI Wubing Chen, Wenbin Li, Xiao Liu, Shangdong Yang, Yang Gao
2023	J	`jnl`	Leveraging transition exploratory bonus for efficient exploration in Hard-Transiting reinforcement learning problems. Future Gener. Comput. Syst. Shangdong Yang, Huihui Wang, Shaokang Dong, Xingguo Chen
2023	A	`conf`	Modified Retrace for Off-Policy Temporal Difference Learning. UAI Xingguo Chen, Xingzhou Ma, Yang Li, Guang Yang, Shangdong Yang, Yang Gao
2023	J	`jnl`	Online attentive kernel-based temporal difference learning. Knowl. Based Syst. Xingguo Chen, Guang Yang, Shangdong Yang, Huihui Wang, Shaokang Dong, Yang Gao
2022	—	`conf`	GUARD: Multigranularity-based Unsupervised Anomaly Detection Algorithm for Multivariate Time Series. CCIS Fan Meng, Qunli Yang, Zhengda He, Shangdong Yang, Weidong Tang
2022	J	`jnl`	Keeping Minimal Experience to Achieve Efficient Interpretable Policy Distillation. CoRR Xiao Liu, Shuyang Liu, Wenbin Li, Shangdong Yang, Yang Gao
2022	J	`jnl`	Learning Credit Assignment for Cooperative Reinforcement Learning. CoRR Wubing Chen, Wenbin Li, Xiao Liu, Shangdong Yang
2022	J	`jnl`	New Galois hulls of generalized Reed-Solomon codes. Finite Fields Their Appl. Yansheng Wu, Chengju Li, Shangdong Yang
2022	J	`jnl`	Online Attentive Kernel-Based Temporal Difference Learning. CoRR Guang Yang, Xingguo Chen, Shangdong Yang, Huihui Wang, Shaokang Dong, Yang Gao
2021	J	`jnl`	An Optimal Algorithm for the Stochastic Bandits While Knowing the Near-Optimal Mean Reward. IEEE Trans. Neural Networks Learn. Syst. Shangdong Yang, Yang Gao
2020	J	`jnl`	Contextual Bandits With Hidden Features to Online Recommendation via Sparse Interactions. IEEE Intell. Syst. Shangdong Yang, Hao Wang, Chenyu Zhang, Yang Gao
2019	—	`conf`	A Contextual Bandit Approach to Personalized Online Recommendation via Sparse Interactions. PAKDD (2) Chenyu Zhang, Hao Wang, Shangdong Yang, Yang Gao
2018	A	`conf`	An Optimal Algorithm for the Stochastic Bandits with Knowing Near-optimal Mean Reward. AAMAS Shangdong Yang, Hao Wang, Yang Gao, Xingguo Chen
2016	A*	`conf`	Efficient Average Reward Reinforcement Learning Using Constant Shifting Values. AAAI Shangdong Yang, Yang Gao, Bo An, Hao Wang, Xingguo Chen
2016	C	`conf`	Incremental Nonnegative Matrix Factorization Based on Matrix Sketching and k-means Clustering. IDEAL Chenyu Zhang, Hao Wang, Shangdong Yang, Yang Gao