Ying Wen
Ying Wen
Associate Professor, Shanghai Jiao Tong University
Verified email at - Homepage
Cited by
Cited by
Product-based neural networks for user response prediction
Y Qu, H Cai, K Ren, W Zhang, Y Yu, Y Wen, J Wang
ICDM 2016, 1149-1154, 2016
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games
Y Wen*, P Peng*, Y Yang, Q Yuan, Z Tang, H Long, J Wang
Emergent Communication Workshop, NIPS 2017, 2017
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
J Grudzien Kuba, R Chen, M Wen, Y Wen, F Sun, J Wang, Y Yang
ICLR 2022, 2022
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, ...
CoRL 2020 (Best System Paper Award), 2020
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning
Y Wen, Y Yang, R Luo, J Wang, W Pan
ICLR 2019, 2018
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
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, ...
Machine Intelligence Research, 2023
Multi-Agent Determinantal Q-Learning
Y Wen, Y Yang, 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
Proceedings of the first international conference on distributed artificial …, 2019
Learning text representation using recurrent convolutional neural network with highway layers
Y Wen, W Zhang, R Luo, J Wang
Neu-IR 2016, SIGIR, 2016
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning
Y Wen, Y Yang, J Wang
The 29th International Joint Conference on Artificial Intelligence (IJCAI 2020), 2020
Modelling behavioural diversity for learning in open-ended games
N Perez-Nieves, Y Yang, O Slumbers, DH Mguni, Y Wen, J Wang
International conference on machine learning, 8514-8524, 2021
Towards unifying behavioral and response diversity for open-ended learning in zero-sum games
X Liu, H Jia, Y Wen, Y Hu, Y Chen, C Fan, Z Hu, Y Yang
Advances in Neural Information Processing Systems 34, 941-952, 2021
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
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
Advances in Neural Information Processing Systems 34, 3504-3517, 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
A Regularized Opponent Model with Maximum Entropy Objective
Y Wen*, Z Tian*, Z Gong, F Punakkath, S Zou, J Wang
The 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), 2019
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning
M Zhou, Z Wan, H Wang, M Wen, R Wu, Y Wen, Y Yang, W Zhang, ...
JMLR, 2023
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, Blue Sky Track, Best Paper Award, 2021
Alphazero-like tree-search can guide large language model decoding and training
Z Wan, X Feng, M Wen, SM McAleer, Y Wen, W Zhang, J Wang
Forty-first International Conference on Machine Learning, 2024
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