| Mean Field Multi-Agent Reinforcement Learning Y Yang, R Luo, M Li, M Zhou, W Zhang, J Wang ICML 2018 (long oral), 2018 | 181 | 2018 |
| 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 | 164 | 2017 |
| 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 | 97 | 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 | 43 | 2019 |
| Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning Y Yang*, Y Wen*, R Luo, J Wang, W Pan ICLR 2019, 2019 | 39 | 2019 |
| 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 | 19 | 2019 |
| 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 | 6 | 2018 |
| -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 | 4 | 2019 |
| 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 | 1 | 2020 |
| Multi-Agent Determinantal Q-Learning Y Yang, Y Wen, L Chen, J Wang, K Shao, D Mguni, W Zhang ICML 2020, 2020 | 1 | 2020 |
| Adversarial Variational Bayes Methods for Tweedie Compound Poisson Mixed Models Y Yang, R Luo, Y Liu ICASSP 2019, 3377-3381, 2019 | 1 | 2019 |
| miRNA target prediction based on gene ontology N Wang, Y Wang, Y Yang, Y Shen, A Li IEEE Computational Intelligence and Design, 2013, 2013 | 1 | 2013 |
| 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 |
Jun WangProfessor, Computer Science, University College LondonVerified email at cs.ucl.ac.uk
