Yali Du
Yali Du
Turing Fellow, Assistant professor, King's College London
Verified email at - Homepage
Cited by
Cited by
A review of safe reinforcement learning: Methods, theory and applications
S Gu, L Yang, Y Du, G Chen, F Walter, J Wang, Y Yang, A Knoll
arXiv preprint arXiv:2205.10330, 2022
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
Curriculum-guided hindsight experience replay
M Fang, T Zhou, Y Du, L Han, Z Zhang
Advances in Neural Information Processing Systems (NeurIPS), 2019
Safe multi-agent reinforcement learning for multi-robot control
S Gu, JG Kuba, Y Chen, Y Du, L Yang, A Knoll, Y Yang
Artificial Intelligence 319, 103905, 2023
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
Reinforcement Learning with Multiple Relational Attention for Solving Vehicle Routing Problems
Y Xu, M Fang, L Chen, G Xu, Y Du, C Zhang
IEEE Transactions on Cybernetics (TCYB), 2021
Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL
R Yang, Y Lu, W Li, H Sun, M Fang, Y Du, X Li, L Han, C Zhang
ICLR, 2022
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
Ordering-Based Causal Discovery with Reinforcement Learning
X Wang, Y Du, S Zhu, L Ke, Z Chen, J Hao, J Wang
IJCAI, 2021
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
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
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
Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning
R Liu, F Bai, Y Du, Y Yang
Advances in Neural Information Processing Systems, 2022
GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning
J Ruan, Y Du, X Xiong, D Xing, X Li, L Meng, H Zhang, J Wang, B Xu
AAMAS 2022, 2022
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
MHER: Model-based hindsight experience replay
R Yang, M Fang, L Han, Y Du, F Luo, X Li
arXiv preprint arXiv:2107.00306, 2021
Reinforcement Recommendation with User Multi-aspect Preference
X Chen, Y Du, L Xia, J Wang
The Web Conference (TheWebConf), 2021
Privileged matrix factorization for collaborative filtering
Y Du, C Xu, D Tao
IJCAI International Joint Conference on Artificial Intelligence, 2017
Generalization in Text-based Games via Hierarchical Reinforcement Learning
Y Xu, M Fang, L Chen, Y Du, C Zhang
Findings of EMNLP, 2021
ChessGPT: Bridging Policy Learning and Language Modeling
X Feng, Y Luo, Z Wang, H Tang, M Yang, K Shao, D Mguni, Y Du, J Wang
NeurIPS, 2023
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