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QIANG FU
QIANG FU
Tencent AI Lab
Verified email at tencent.com
Title
Cited by
Cited by
Year
Mastering complex control in moba games with deep reinforcement learning
D Ye, Z Liu, M Sun, B Shi, P Zhao, H Wu, H Yu, S Yang, X Wu, Q Guo, ...
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6672-6679, 2020
3062020
Towards playing full moba games with deep reinforcement learning
D Ye, G Chen, W Zhang, S Chen, B Yuan, B Liu, J Chen, Z Liu, F Qiu, ...
Advances in Neural Information Processing Systems 33, 621-632, 2020
1772020
Supervised learning achieves human-level performance in moba games: A case study of honor of kings
D Ye, G Chen, P Zhao, F Qiu, B Yuan, W Zhang, S Chen, M Sun, X Li, S Li, ...
IEEE Transactions on Neural Networks and Learning Systems 33 (3), 908-918, 2020
512020
Juewu-mc: Playing minecraft with sample-efficient hierarchical reinforcement learning
Z Lin, J Li, J Shi, D Ye, Q Fu, W Yang
arXiv preprint arXiv:2112.04907, 2021
342021
Which heroes to pick? learning to draft in moba games with neural networks and tree search
S Chen, M Zhu, D Ye, W Zhang, Q Fu, W Yang
IEEE Transactions on Games 13 (4), 410-421, 2021
282021
Minerl diamond 2021 competition: Overview, results, and lessons learned
A Kanervisto, S Milani, K Ramanauskas, N Topin, Z Lin, J Li, J Shi, D Ye, ...
NeurIPS 2021 Competitions and Demonstrations Track, 13-28, 2022
252022
Actor-critic policy optimization in a large-scale imperfect-information game
H Fu, W Liu, S Wu, Y Wang, T Yang, K Li, J Xing, B Li, B Ma, Q Fu, Y Wei
International Conference on Learning Representations, 2021
252021
Mapgo: Model-assisted policy optimization for goal-oriented tasks
M Zhu, M Liu, J Shen, Z Zhang, S Chen, W Zhang, D Ye, Y Yu, Q Fu, ...
arXiv preprint arXiv:2105.06350, 2021
232021
Honor of kings arena: an environment for generalization in competitive reinforcement learning
H Wei, J Chen, X Ji, H Qin, M Deng, S Li, L Wang, W Zhang, Y Yu, L Linc, ...
Advances in Neural Information Processing Systems 35, 11881-11892, 2022
222022
More agents is all you need
J Li, Q Zhang, Y Yu, Q Fu, D Ye
arXiv preprint arXiv:2402.05120, 2024
172024
Rltf: Reinforcement learning from unit test feedback
J Liu, Y Zhu, K Xiao, Q Fu, X Han, W Yang, D Ye
arXiv preprint arXiv:2307.04349, 2023
142023
Future-conditioned unsupervised pretraining for decision transformer
Z Xie, Z Lin, D Ye, Q Fu, Y Wei, S Li
International Conference on Machine Learning, 38187-38203, 2023
142023
Boosting offline reinforcement learning with residual generative modeling
H Wei, D Ye, Z Liu, H Wu, B Yuan, Q Fu, W Yang, Z Li
arXiv preprint arXiv:2106.10411, 2021
132021
Quality-similar diversity via population based reinforcement learning
S Wu, J Yao, H Fu, Y Tian, C Qian, Y Yang, Q Fu, Y Wei
The Eleventh International Conference on Learning Representations, 2023
122023
Revisiting discrete soft actor-critic
H Zhou, Z Lin, J Li, Q Fu, W Yang, D Ye
arXiv preprint arXiv:2209.10081, 2022
122022
Learning diverse policies in moba games via macro-goals
Y Gao, B Shi, X Du, L Wang, G Chen, Z Lian, F Qiu, G Han, W Wang, D Ye, ...
Advances in Neural Information Processing Systems 34, 16171-16182, 2021
102021
Greedy when sure and conservative when uncertain about the opponents
H Fu, Y Tian, H Yu, W Liu, S Wu, J Xiong, Y Wen, K Li, J Xing, Q Fu, ...
International Conference on Machine Learning, 6829-6848, 2022
92022
Towards effective and interpretable human-agent collaboration in moba games: A communication perspective
Y Gao, F Liu, L Wang, Z Lian, W Wang, S Li, X Wang, X Zeng, R Wang, ...
arXiv preprint arXiv:2304.11632, 2023
82023
Autocfr: Learning to design counterfactual regret minimization algorithms
H Xu, K Li, H Fu, Q Fu, J Xing
Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 5244-5251, 2022
82022
Curriculum-based co-design of morphology and control of voxel-based soft robots
Y Wang, S Wu, H Fu, Q Fu, T Zhang, Y Chang, X Wang
The Eleventh International Conference on Learning Representations, 2023
72023
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Articles 1–20