| Measuring Structural Similarities in Finite MDPs. H Wang, S Dong, L Shao IJCAI, 3684-3690, 2019 | 29 | 2019 |
| Job and candidate recommendation with big data support: A contextual online learning approach S Dong, Z Lei, P Zhou, K Bian, G Liu GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-7, 2017 | 17 | 2017 |
| Wtoe: Learning when to explore in multiagent reinforcement learning S Dong, H Mao, S Yang, S Zhu, W Li, J Hao, Y Gao IEEE Transactions on Cybernetics 54 (8), 4789 - 4801, 2024 | 3 | 2024 |
| Online attentive kernel-based temporal difference learning X Chen, G Yang, S Yang, H Wang, S Dong, Y Gao Knowledge-Based Systems 278, 110902, 2023 | 3 | 2023 |
| Reinforcement learning from algorithm model to industry innovation: A foundation stone of future artificial intelligence S Dong, J Chen, Y Liu, T Bao, Y Gao ZTE communications 17 (3), 31, 2019 | 3 | 2019 |
| Egoism, utilitarianism and egalitarianism in multi-agent reinforcement learning S Dong, C Li, S Yang, B An, W Li, Y Gao Neural Networks 178, 106544, 2024 | 2 | 2024 |
| Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning C Li, Y Zhang, J Wang, Y Hu, S Dong, W Li, T Lv, C Fan, Y Gao Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 17453 …, 2024 | 2 | 2024 |
| Consistent MetaReg: alleviating intra-task discrepancy for better meta-knowledge P Tian, L Qi, S Dong, Y Shi, Y Gao Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 2 | 2021 |
| Coordinating Multi-Agent Reinforcement Learning via Dual Collaborative Constraints C Li, S Dong, S Yang, Y Hu, W Li, Y Gao Neural Networks 182, 106858, 2025 | 1 | 2025 |
| Decentralized Counterfactual Value with Threat Detection for Multi-Agent Reinforcement Learning in mixed cooperative and competitive environments S Dong, C Li, S Yang, W Li, Y Gao Expert Systems with Applications 257, 125116, 2024 | 1 | 2024 |
| Leveraging transition exploratory bonus for efficient exploration in Hard-Transiting reinforcement learning problems S Yang, H Wang, S Dong, X Chen Future Generation Computer Systems 145, 442-453, 2023 | 1 | 2023 |
| Multi-Task Multi-Agent Reinforcement Learning With Interaction and Task Representations C Li, S Dong, S Yang, Y Hu, T Ding, W Li, Y Gao IEEE Transactions on Neural Networks and Learning Systems, 2024 | | 2024 |
| Survey on Solutions and Applications for Mixed-motive Games 董绍康， 李超， 杨光， 葛振兴， 曹宏业， 陈武兵， 杨尚东， 陈兴国， 李文斌， ... Journal of Software, 1-47, 2024 | | 2024 |
| Multi-Agent Sparse Interaction Modeling is an Anomaly Detection Problem C Li, S Dong, S Yang, H Cao, W Li, Y Gao ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Multi-Agent Exploration via Self-Learning and Social Learning S Dong, C Li, W Chen, H Cao, W Li, Y Gao ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| DDMA: Discrepancy-Driven Multi-agent Reinforcement Learning C Li, Y Hu, P Tian, S Dong, Y Gao Pacific Rim International Conference on Artificial Intelligence, 91-105, 2022 | | 2022 |
| Towards Empowerment Gain through Causal Structure Learning in Model-Based RL H Cao, F Feng, M Fang, S Dong, J Huo, Y Gao ICML 2024 Workshop: Foundations of Reinforcement Learning and Control …, 0 | | |
Yang GaoNanjing University, ChinaEmail verificata su nju.edu.cn