Yali Du
Yali Du
Assistant Professor, Computer Science, King's College London
Verified email at - Homepage
Cited by
Cited by
Curriculum-guided hindsight experience replay
M Fang, T Zhou, Y Du, L Han, Z Zhang
Advances in Neural Information Processing Systems (NeurIPS), 2019
LIIR: Learning individual intrinsic reward in multi-agent reinforcement learning
Y Du, L Han, M Fang, T Dai, J Liu, D Tao
Advances in Neural Information Processing Systems (NeurIPS) 32, 4403-4414, 2019
Enhancing the robustness of neural collaborative filtering systems under malicious attacks
Y Du, M Fang, J Yi, C Xu, J Cheng, D Tao
IEEE Transactions on Multimedia 21 (3), 555-565, 2018
Towards query efficient black-box attacks: An input-free perspective
Y Du, M Fang, J Yi, J Cheng, D Tao
Proceedings of the 11th ACM CCS@Workshop on Artificial Intelligence and …, 2018
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games
Y Xu*, M Fang*, L Chen, Y Du, JT Zhou, C Zhang
Advances in Neural Information Processing Systems (NeurIPS) 33, 2020
Grid-wise control for multi-agent reinforcement learning in video game ai
Y Du*, L Han*, P Sun*, J Xiong, Q Wang, X Sun, H Liu, T Zhang
International Conference on Machine Learning (ICML), 2576-2585, 2019
Reliable facility systems design subject to edge failures: based on the uncapacitated fixed-charge location problem
Y Pan, Y Du, Z Wei
American Journal of Operations Research 2014, 2014
Learning in Nonzero-Sum Stochastic Games with Potentials
D Mguni, Y Wu, Y Du, Y Yang, Z Wang, M Li, Y Wen, J Jennings, J Wang
ICML, 2021
Learning Correlated Communication Topology in Multi-Agent Reinforcement Learning
Y Du, B Liu, V Moens, Z Liu, Z Ren, J Wang, X Chen, H Zhang
AAMAS, 2021
Privileged matrix factorization for collaborative filtering
Y Du, C Xu, D Tao
IJCAI International Joint Conference on Artificial Intelligence, 2017
Ordering-Based Causal Discovery with Reinforcement Learning
X Wang, Y Du, S Zhu, L Ke, Z Chen, J Hao, J Wang
IJCAI, 2021
Matrix factorization for collaborative budget allocation
Y Du, C Xu, D Tao
IEEE Transactions on Automation Science and Engineering 15 (4), 1471-1482, 2018
Diversity-augmented intrinsic motivation for deep reinforcement learning
T Dai, Y Du, M Fang, AA Bharath
Neurocomputing 468, 396-406, 2022
Reinforcement Recommendation with User Multi-aspect Preference
X Chen, Y Du, L Xia, J Wang
The Web Conference (TheWebConf), 2021
Exploring content-based video relevance for video click-through rate prediction
X Wang, Y Du, L Zhang, X Li, M Zhang, J Dong
Proceedings of the 27th ACM International Conference on Multimedia, 2602-2606, 2019
Collaborative rating allocation
Y Du, C Xu, D Tao
IJCAI International Joint Conference on Artificial Intelligence, 2017
Mher: Model-based hindsight experience replay
R Yang, M Fang, L Han, Y Du, F Luo, X Li
arXiv preprint arXiv:2107.00306, 2021
Signal instructed coordination in cooperative multi-agent reinforcement learning
L Chen, H Guo, Y Du, F Fang, H Zhang, W Zhang, Y Yu
International Conference on Distributed Artificial Intelligence, 185-205, 2021
Generalization in Text-based Games via Hierarchical Reinforcement Learning
Y Xu, M Fang, L Chen, Y Du, C Zhang
Findings of EMNLP, 2021
Signal Instructed Coordination in Team Competition
L Chen, H Guo, H Zhang, F Fang, Y Zhu, M Zhou, W Zhang, Q Wang, Y Yu
arXiv preprint arXiv:1909.04224, 2019
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