| Distributional reward estimation for effective multi-agent deep reinforcement learning J Hu, Y Sun, H Chen, S Huang, Y Chang, L Sun Advances in Neural Information Processing Systems 35, 12619-12632, 2022 | 7 | 2022 |
| Instructed diffuser with temporal condition guidance for offline reinforcement learning J Hu, Y Sun, S Huang, SY Guo, H Chen, L Shen, L Sun, Y Chang, D Tao arXiv preprint arXiv:2306.04875, 2023 | 6 | 2023 |
| A simple unified uncertainty-guided framework for offline-to-online reinforcement learning S Guo, Y Sun, J Hu, S Huang, H Chen, H Piao, L Sun, Y Chang arXiv preprint arXiv:2306.07541, 2023 | 4 | 2023 |
| Generalized multi-agent competitive reinforcement learning with differential augmentation T Liu, H Chen, J Hu, Z Yang, B Yu, X Du, Y Miao, Y Chang Expert Systems with Applications 238, 121760, 2024 | 3 | 2024 |
| Cross-Modal Audio-Text Retrieval via Sequential Feature Augmentation F Song, J Hu, C Wang, J Huang, H Zhang, Y Wang Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and …, 2023 | 1 | 2023 |
| Learning generalizable agents via saliency-guided features decorrelation S Huang, Y Sun, J Hu, S Guo, H Chen, Y Chang, L Sun, B Yang Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Multiple Frequency Bands Temporal State Representation for Deep Reinforcement Learning C Wang, J Hu, F Song, J Huang, Z Yang, Y Wang Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and …, 2023 | | 2023 |
Hechang ChenSchool of Artificial Intelligence, Jilin University, China在 jlu.edu.cn 的电子邮件经过验证
