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
492 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
451 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
193 2019 An Overview of Multi-Agent Reinforcement Learning from Game Theoretical Perspective Y Yang, J Wang
arXiv preprint arXiv:2011.00583, 2020
107 2020 Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning Y Wen, Y Yang, R Luo, J Wang, W Pan
ICLR 2019, 2019
106 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
85 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
68 * 2018 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
52 2019 Multi-Agent Determinantal Q-Learning Y Yang, Y Wen, L Chen, J Wang, K Shao, D Mguni, W Zhang
ICML 2020, 2020
51 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
43 2019 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
36 * 2017 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
34 * 2021 Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning Y Wen, Y Yang, R Luo, J Wang
IJCAI 2020, 2019
32 * 2019 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
30 2021 Modelling Behavioural Diversity for Learning in Open-Ended Games NP Nieves, Y Yang, O Slumbers, DH Mguni, J Wang
ICML 2021, Long Oral, 2021
28 * 2021 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
26 2021 Y Yang, R Tutunov, P Sakulwongtana, HB Ammar
AAMAS 2020, 2019
26 * 2019 On the complexity of computing markov perfect equilibrium in general-sum stochastic games X Deng, N Li, D Mguni, J Wang, Y Yang
National Science Review 10 (1), nwac256, 2023
23 2023 Neural Auto-Curricula in Two-Player Zero-Sum Games X Feng, O Slumbers, Z Wan, B Liu, S McAleer, Y Wen, J Wang, Y Yang
NeurIPS 2021, 2021
23 * 2021 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
23 * 2021 
Jun WangProfessor, Computer Science, University College LondonGeverifieerd e-mailadres voor cs.ucl.ac.uk
