Yaodong Yang
Yaodong Yang
BOYA (博雅) Assistant Professor at Peking University
Preverjeni e-poštni naslov na pku.edu.cn - Domača stran
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
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
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning
Y Wen, Y Yang, R Luo, J Wang, W Pan
ICLR 2019, 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
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
Baichuan 2: Open Large-scale Language Models
A Yang, B Xiao, B Wang, B Zhang, C Yin, C Lv, D Pan, D Wang, D Yan, ...
arXiv preprint arXiv:2309.10305, 2023
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
Can deep learning predict risky retail investors? A case study in financial risk behavior forecasting
A Kim, Y Yang, S Lessmann, T Ma, MC Sung, JEV Johnson
European Journal of Operational Research 283 (1), 217-234, 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
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
Beavertails: Towards improved safety alignment of llm via a human-preference dataset
J Ji, M Liu, J Dai, X Pan, C Zhang, C Bian, R Sun, Y Wang, Y Yang
NeurIPS 2023, 2023
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning
Y Chen, Y Yang, T Wu, S Wang, X Feng, J Jiang, SM McAleer, H Dong, ...
NeurIPS 2022, 2022
Ai alignment: A comprehensive survey
J Ji, T Qiu, B Chen, B Zhang, H Lou, K Wang, Y Duan, Z He, J Zhou, ...
arXiv preprint arXiv:2310.19852, 2023
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
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