Multi-Agent Reinforcement Learning
Multi-Agent Determinantal Q-Learning.
Yang Y., Wen Y., Chen L., Wang J., Shao K., David M., and Zhang W.
ICML 2020
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning.
Wen Y.*, Yang Y.*, Luo, R., and Wang J.
IJCAI 2020
Alpha^Alpha-Rank: Practically Scaling Alpha-Rank through Stochastic Optimisation.
Yang Y.*, R Tutunov*, P Sakulwongtana, HB Ammar, and J Wang.
AAMAS 2020
Probabilistic Recursive Reasoning for Multi-agent Reinforcement Learning.
Wen Y.*, Yang Y.*, Luo R., Pan W., and Wang J.
ICLR 2019
Mean Field Multi-agent Reinforcement Learning.
Yang Y., Luo R., Li M., Zhou M., Zhang W., and Wang J.
ICML 2018, long talk (top3%)
A Study of AI Population Dynamics with Million-agent Reinforcement Learning.
Yang Y.*, Yu L.*, Bai Y.*, Wang J., Zhang W., Wen Y. and Yu Y.
AAMAS 2018
Bi-level Actor-Critic for Multi-agent Coordination.
H Zhang, W Chen, Z Huang, M Li, Yang Y., W Zhang, and J Wang
AAAI 2020
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning.
Li M., Qin Z., Jiao Y., Yang Y., Wang J., Wang C., Wu G., and Ye J.
WWW 2019
Factorised Q-Learning for Large-Scale Multi-Agent Systems.
Chen Y., Zhou M., Wen Y., Yang Y., Su Y., Zhang W., Zhang D, Wang J., and Liu H.
DAI 2019
Multi-agent Bidirectionally-Coordinated nets for learning to play StarCraft combat games.
Peng P., Wen Y., Yang Y. , Yuan Q., Tang Z., Long H. and Wang J.
NIPS 2017 Workshop
Sequential Advertising Agent with Interpretable User Hidden Intents
Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai
CIKM 2020
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou*, Jun Luo*, Julian Villela*, Yaodong Yang*, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Aurora Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Dong Chen, Zhengbang Zhu, Nhat Nguyen, Mohamed Elsayed, Kun Shao, Sanjeevan Ahilan, Baokuan Zhang, Jiannan Wu, Zhengang Fu, Kasra Rezaee, Peyman Yadmellat, Mohsen Rohani, Nicolas Perez Nieves, Yihan Ni, Seyedershad Banijamali, Alexander Cowen Rivers, Zheng Tian, Daniel Palenicek, Haitham bou Ammar, Hongbo Zhang, Wulong Liu, Jianye Hao, Jun Wang
CoRL 2020, BEST PAPER AWARD
Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems.
Yaodong Yang, Jun Luo, Ying Wen, Oliver Slumbers, Daniel Graves, Haitham Bou Ammar, Jun Wang, Matthew E Taylor
AAMAS 2021
BEST PAPER WARD in Blue Sky Track
Modelling Behavioural Diversity for Learning in Open-Ended Games.
Nicolas Perez Nieves*, Yaodong Yang*, Oliver Slumbers*, David Henry Mguni, Jun Wang
ICML 2021, long talk (top3%)
Learning in Nonzero-Sum Stochastic Games with Potentials
David Mguni, Yutong Wu, Yali Du, Yaodong Yang (corresponding author), Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang
ICML 2021
