Yaodong Yang
Yaodong Yang
University College London, Huawei R&D U.K.
Verified email at cs.ucl.ac.uk - Homepage
Title
Cited by
Cited by
Year
Mean Field Multi-Agent Reinforcement Learning
Y Yang, R Luo, M Li, M Zhou, W Zhang, J Wang
ICML 2018 (long oral), 2018
1812018
Multiagent bidirectionally-coordinated nets for learning to play starcraft combat games
P Peng, Q Yuan, Y Wen, Y Yang, Z Tang, H Long, J Wang
arXiv preprint arXiv:1703.10069 2, 2017
1642017
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
NIPS 2017 Workshop: Emergent Communication, 2017
972017
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
432019
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning
Y Yang*, Y Wen*, R Luo, J Wang, W Pan
ICLR 2019, 2019
392019
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
192019
An Empirical 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, 2018
16*2018
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
12*2018
Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning
R Luo, Y Yang, J Wang, W Jun, Z Zhu
NIPS 2018, 2018
7*2018
Benchmarking deep sequential models on volatility predictions for financial time series
Q Zhang, R Luo, Y Yang, Y Liu
NIPS 2018 Worksop: Challenges and Opportunities for AI in Financial Services, 2018
62018
-Rank: Scalable Multi-agent Evaluation through Evolution
Y Yang, R Tutunov, P Sakulwongtana, HB Ammar, J Wang
AAMAS 2020, 2020
5*2020
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
42019
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning
Y Yang*, Y Wen*, R Luo, J Wang
IJCAI 2020, 2019
3*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 paper award), 2020
12020
Multi-Agent Determinantal Q-Learning
Y Yang, Y Wen, L Chen, J Wang, K Shao, D Mguni, W Zhang
ICML 2020, 2020
12020
Adversarial Variational Bayes Methods for Tweedie Compound Poisson Mixed Models
Y Yang, R Luo, Y Liu
ICASSP 2019, 3377-3381, 2019
12019
miRNA target prediction based on gene ontology
N Wang, Y Wang, Y Yang, Y Shen, A Li
IEEE Computational Intelligence and Design, 2013, 2013
12013
An Overview of Multi-Agent Reinforcement Learning from Game Theoretical Perspective
Y Yang, J Wang
arXiv preprint arXiv:2011.00583, 2020
2020
Order Execution Probability and Order Queue in Limit Order Markets
Q Zhang, C Wang, S Liu, Y Yang
Journal of Systems Science and Complexity 33 (5), 1545-1557, 2020
2020
Learning to Infer User Hidden States for Online Sequential Advertising
Z Peng, J Jin, L Luo, Y Yang, R Luo, J Wang, W Zhang, H Xu, M Xu, C Yu, ...
CIKM 2020, 2020
2020
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