Yaodong Yang
Yaodong Yang
Assistant Professor at Peking University
Verified email at - Homepage
Cited by
Cited by
Mean field multi-agent reinforcement learning
Y Yang, R Luo, M Li, M Zhou, W Zhang, J Wang
ICML 2018, Long Talk, 5571-5580, 2018
Multiagent bidirectionally-coordinated nets: Emergence of human-level coordination in learning to play starcraft combat games
P Peng, Y Wen, Y Yang, Q Yuan, Z Tang, H Long, J Wang
NeurIPS 2017 Workshop: Emergent Communication, 2017
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning
M Li, Y Jiao, T Qin, Y Yang, Z Gong, J Wang, C Wang, G Wu, J Ye
WWW 2019 (oral), 2019
An Overview of Multi-Agent Reinforcement Learning from Game Theoretical Perspective
Y Yang, J Wang
arXiv preprint arXiv:2011.00583, 2020
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning
Y Wen, Y Yang, R Luo, J Wang, W Pan
ICLR 2019, 2019
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
M Zhou, J Luo, J Villela, Y Yang, D Rusu, J Miao, W Zhang, M Alban, ...
Conference on Robotic Learning 2020 (Best System Paper Award), 2020
Can Deep Learning Predict Risky Retail Investors? A Case Study in Financial Risk Behavior Forecasting
Y Yang, A Kolesnikova, S Lessmann, T Ma, MC Sung, JEV Johnson
European Journal of Operational Research, 2018
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
JG Kuba, R Chen, M Wen, Y Wen, F Sun, J Wang, Y Yang
ICLR 2022, 2021
Bi-level Actor-Critic for Multi-agent Coordination
H Zhang, W Chen, Z Huang, M Li, Y Yang, W Zhang, J Wang
AAAI 2020, 2019
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
Multi-Agent Determinantal Q-Learning
Y Yang, Y Wen, L Chen, J Wang, K Shao, D Mguni, W Zhang
ICML 2020, 2020
Factorized Q-learning for large-scale multi-agent systems
M Zhou, Y Chen, Y Wen, Y Yang, Y Su, W Zhang, D Zhang, J Wang
International Conference on Distributed Artificial Intelligence, 1-7, 2019
Modelling Behavioural Diversity for Learning in Open-Ended Games
NP Nieves, Y Yang, O Slumbers, DH Mguni, J Wang
ICML 2021, Long Oral, 2021
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning
Y Wen, Y Yang, R Luo, J Wang
IJCAI 2020, 2019
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, 2021
Offline pre-trained multi-agent decision transformer: One big sequence model tackles all smac tasks
L Meng, M Wen, Y Yang, C Le, X Li, W Zhang, Y Wen, H Zhang, J Wang, ...
arXiv preprint arXiv:2112.02845, 2021
A study of AI population dynamics with million-agent reinforcement learning
Y Yang, L Yu, Y Bai, J Wang, W Zhang, Y Wen, Y Yu
AAMAS 2018, 2017
Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games
X Liu, H Jia, Y Wen, Y Yang, Y Hu, Y Chen, C Fan, Z Hu
NeurIPS 2021, 2021
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem
M Wen, JG Kuba, R Lin, W Zhang, Y Wen, J Wang, Y Yang
NeurIPS 2022, 2022
Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems
Y Yang, J Luo, Y Wen, O Slumbers, D Graves, HB Ammar, J Wang, ...
AAMAS 2021 (Best Blue Sky Paper Award), 2021
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