Следене
Yali Du
Yali Du
Turing Fellow, Associate professor, King's College London
Потвърден имейл адрес: kcl.ac.uk - Начална страница
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Позовавания
Позовавания
Година
A review of safe reinforcement learning: Methods, theory and applications
S Gu, L Yang, Y Du, G Chen, F Walter, J Wang, A Knoll
IEEE TPAMI, 2022
3102022
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
2122019
Curriculum-guided hindsight experience replay
M Fang, T Zhou, Y Du, L Han, Z Zhang
Advances in Neural Information Processing Systems (NeurIPS), 2019
1922019
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
132*2023
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
882021
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
802022
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
762021
Ordering-Based Causal Discovery with Reinforcement Learning
X Wang, Y Du, S Zhu, L Ke, Z Chen, J Hao, J Wang
IJCAI, 2021
712021
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
69*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
602018
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
592022
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
532021
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
482023
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
482022
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
442020
A Review of Cooperation in Multi-agent Learning
Y Du, JZ Leibo, U Islam, R Willis, P Sunehag
arXiv preprint arXiv:2312.05162, 2023
342023
MHER: Model-based hindsight experience replay
R Yang, M Fang, L Han, Y Du, F Luo, X Li
arXiv preprint arXiv:2107.00306, 2021
292021
Cooperative open-ended learning framework for zero-shot coordination
Y Li, S Zhang, J Sun, Y Du, Y Wen, X Wang, W Pan
International Conference on Machine Learning, 20470-20484, 2023
262023
Cooperative Open-ended Learning Framework for Zero-shot Coordination
Y Li, S Zhang, J Sun, Y Du, Y Wen, X Wang, W Pan
ICML 2023, 2023
262023
PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination
X Lou, J Guo, J Zhang, J Wang, K Huang, Y Du
AAMAS 2023, 2023
242023
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