Publications

 
Caveat for other researchers with the same name as me. I am NOT affiliated with "Tianjin University" or "Xi'an JiaoTong University", and I do NOT conduct Blockchain research.

 

 

No Longer Updated! For Lastest Publications, Please Check Google Scholar!

*: Equal Contribution    †: Corresponding author

Recent Preprints​:

  • Settling the Bias and Variance of Meta-Gradient Estimation for Meta-Reinforcement Learning

Bo Liu, Xidong Feng, Haifeng Zhang, Jun Wang, Yaodong Yang()

2022

PDF  |  

  • An Overview of Multi-Agent Reinforcement Learning from Game Theoretical Perspective

Yaodong Yang(), Jun Wang 

2021

PDF  |  

  • Measuring the Non-Transitivity in Chess

Ricky Sanjaya, Jun Wang, Yaodong Yang()

2021

PDF  |  

  • Online Double Oracle​​

Le Cong Dinh(*), Yaodong Yang(*, ), Zheng Tian, Nicolas Perez Nieves, Oliver Slumbers, David Henry Mguni, Haitham Bou Ammar, Jun Wang 

2021

PDF  |  Code

  • Online Markov Decision Processes with Non-oblivious Strategic Adversary

Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang()

2021

PDF  | 

  • Multi-Agent Constrained Policy Optimisation

Shangding Gu, Jakub Grudzien Kuba, Munning Wen, Ruiqing Chen, Ziyan Wang, Zheng Tian, Jun Wang, Alois Knoll,

Yaodong Yang() 

2021

PDF  |  Code

  • Revisiting the Characteristics of Stochastic Gradient Noise and Dynamics

Yixin Wu, Rui Luo, Chen Zhang, Jun Wang, Yaodong Yang()

2021

PDF  | 

  • On the Complexity of Computing Markov Perfect Equilibrium in General-Sum Stochastic Games

Xiaotie Deng, Yuhao Li, David Henry Mguni, Jun Wang, Yaodong Yang

2021

PDF  | 

  • Learning to Compute Approximate Nash Equilibrium for Normal-form Games

Zhijian Duan, Yali Du, Jun Wang, Yaodong Yang, Xiaotie Deng

2021 

PDF  |  

  • A Game-Theoretic Approach to Multi-Agent Trust Region Optimization

Ying Wen, Hui Chen, Yaodong Yang, Zheng Tian, Minne Li, Xu Chen, Jun Wang

2021

PDF  | Code

  • MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning

Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Weinan Zhang, Jun Wang

2021

PDF  |  Code

  • Learning to Shape Rewards using a Game of Switching Controls

David Mguni, Jianhong Wang, Taher Jafferjee, Nicolas Perez-Nieves, Wenbin Song, Yaodong Yang(), Feifei Tong, Hui Chen, Jiangcheng Zhu, Yali Du, Jun Wang

2021

PDF  | 

2022:

  • Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning

Jakub Grudzien Kuba, Ruiqing Chen, Munning Wen, Ying Wen, Fanglei Sun, Jun Wang, Yaodong Yang()

ICLR 2022 

PDF  |  Code  |  Blog

  • LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning

David Henry Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez-Nieves, Oliver Slumbers, Feifei Tong, Yang Li, Jiangcheng Zhu, Jun Wang, Yaodong Yang

ICLR 2022

PDF  |  

2021:

  • Chapter 19: Multi-Agent Reinforcement Learning

Yaodong Yang()

<<Review of Mathematical Science for Computing and Communication>>, Cambridge University Press

PDF  |  

  • Settling the Variance of Multi-Agent Policy Gradients

Jakub Grudzien Kuba, Muning Wen, Linghui Meng, Shangding Gu, Haifeng Zhang, David Henry Mguni, Jun Wang, 

Yaodong Yang()

NeurIPS 2021

PDF  |  Code  |  Blog  

  • Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games

Xiangyu Liu, Hangtian Jia, Ying Wen, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhipeng Hu, Yaodong Yang

NeurIPS 2021

PDF  |  Video  |  Code

  • Neural Auto-Curricula in Two-Player Zero-Sum Games

Xidong Feng, Oliver Slumbers, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang, Yaodong Yang()

NeurIPS 2021

PDF  |  Code

  • Learning in Nonzero-Sum Stochastic Games with Potentials

David Mguni, Yutong Wu, Yali Du, Yaodong Yang(), Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang

ICML 2021

PDF  |  

  • Modelling Behavioural Diversity for Learning in Open-Ended Games

Yaodong Yang(*, ), Nicolas Perez Nieves(*), Oliver Slumbers(*), David Henry Mguni, Jun Wang

ICML 2021, Long Oral (Top 3%)

PDF  | Code

  • Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems

Yaodong Yang, Jun Luo, Ying Wen, Oliver Slumbers, Daniel Graves, Haitham Bou Ammar, Jun Wang, Matthew E Taylor

AAMAS 2021, Best Blue-Sky Paper Award 

PDF  |

2020:

  • SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving

Ming Zhou(*), Jun Luo(*), Julian Villela(*), Yaodong Yang(*), David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Aurora Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Dong Chen, Zhengbang Zhu, Nhat Nguyen, Mohamed Elsayed, Kun Shao, Sanjeevan Ahilan, Baokuan Zhang, Jiannan Wu, Zhengang Fu, Kasra Rezaee, Peyman Yadmellat, Mohsen Rohani, Nicolas Perez Nieves, Yihan Ni, Seyedershad Banijamali, Alexander Cowen Rivers, Zheng Tian, Daniel Palenicek, Hongbo Zhang, Wulong Liu, Jianye Hao, Jun Wang

CoRL 2020, Best System Paper Award

PDF  |  Code

  • Order Execution Probability and Order Queue in Limit Order Markets

Qiang Zhang, Chao Wang, Shancun Liu, Yaodong Yang

Journal of Systems Science and Complexity

PDF  | 

  • Learning to Infer User Hidden States for Online Sequential Advertising

Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai

CIKM 2020

PDF  | 

  • Robust Multi-Agent Reinforcement Learning Driven by Correlated Equilibrium

Yizheng Hu, Kun Shao, Dong Li, HAO Jianye, Wulong Liu, Yaodong Yang, Jun Wang, Zhanxing Zhu

OpenReview 2020

PDF  | 

  • Multi-Agent Determinantal Q-Learning

Yaodong Yang(*, ), Ying Wen(*), Lihuan Chen, Jun Wang, Kun Shao, David Mguni, Weinan Zhang

ICML 2020

PDF   Code

  • Replica-exchange Nos'e-Hoover dynamics for Bayesian learning on large datasets

Rui Luo, Qiang Zhang, Yaodong Yang(), Jun Wang

NeurIPS 2020

PDF  | 

  • Factorized Q-learning for large-scale multi-agent systems

Ming Zhou, Yong Chen, Ying Wen, Yaodong Yang, Yufeng Su, Weinan Zhang, Dell Zhang, Jun Wang

DAI 2020

PDF  | 

  • Alpha-Alpha-Rank: Practically Scaling -Rank through Stochastic Optimisation

Yaodong Yang(*, ),  Rasul Tutunov(*), Phu Sakulwongtana, Haitham Bou Ammar

AAMAS 2020

PDF  |  Blog

  • Bi-level Actor-Critic for Multi-agent Coordination

Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang

AAAI 2020

PDF  |  Code

2019:

  • Adversarial Variational Bayes Methods for Tweedie Compound Poisson Mixed Models

Yaodong Yang, Rui Luo, Yuanyuan Liu

ICASSP 2019

PDF  | 

  • Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning

Minne Li, Yan Jiao, Tony Qin, Yaodong Yang, Zhichen Gong, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye

WWW 2019, Oral

PDF  |  Media     

  • Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning

Yaodong Yang(*), Ying Wen(*), Rui Luo, Jun Wang

IJCAI 2020

PDF  |  Code

  • Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning

Yaodong Yang(*)Ying Wen(*), Rui Luo, Jun Wang, Wei Pan

ICLR 2019

PDF  |  Blog  |  Code

2018:

  • Can Deep Learning Predict Risky Retail Investors? A Case Study in Financial Risk Behavior Forecasting

Yaodong Yang, Alisa Kolesnikova, Stefan Lessmann, Tiejun Ma, Ming-Chien Sung, Johnnie EV Johnson

European Journal of Operational Research

PDF  | 

  • Parallel-tempered Stochastic Gradient Hamiltonian Monte Carlo for Approximate Multimodal Posterior Sampling

Rui Luo, Qiang Zhang, Yaodong Yang, Yuanyuan Liu

NeruIPS 2018 Workshop

PDF  | 

  • Benchmarking Deep Sequential Models on Volatility Predictions for Financial Time Series

Qiang Zhang, Rui Luo, Yaodong Yang, Yuanyuan Liu

NeruIPS 2018 Workshop

PDF  | 

  • Mean Field Multi-Agent Reinforcement Learning

Yaodong Yang(), Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang

ICML 2018, Long Oral (Top 3%)

PDF  |  Code  |  Blog

  • Thermostat-assisted Continuously-tempered Hamiltonian Monte Carlo for Bayesian learning

Rui Luo, Yaodong Yang, Jianhong Wang, Jun Wang, Zhanxing Zhu

NeruIPS 2018 

PDF  | 

  • Parallel-tempered Stochastic Gradient HamiltonianMonte Carlo for Approximate Multimodal Posterior Sampling

Rui Luo, Qiang Zhang, Yaodong Yang, Yuanyuan Liu

NeruIPS 2018 Workshop

PDF  | 

  • Information Acquisition: Fundamental and Non-Fundamental

Zeng Qingduo, Liu Shancun, Zhang Qiang, Yang Yaodong

Journal of Management Science and Engineering

PDF  | 

2017:

  • A Study of AI Population Dynamics with Million-Agent Reinforcement Learning

Yaodong Yang, Lantao Yu, Yiwei Bai, Jun Wang, Weinan Zhang, Ying Wen, Yong Yu

AAMAS 2018 (Extended Abstract) 

PDF  |  Code 

  • Multiagent Bidirectionally-coordinated Nets: Emergence of Human-level Coordination in Learning to Play Starcraft Combat Games

Peng Peng, Ying Wen, Yaodong Yang, Quan Yuan, Zhenkun Tang, Haitao Long, Jun Wang

NeruIPS 2017 Workshop

PDF  |  Video  |  Media     

  • Multiagent Communication by Bi-directional Recurrent Neural Networks

Ying Wen, Yaodong Yang, Jun Wang

NeruIPS 2017 Workshop

PDF  |   

  • Inferring Tweedie Compound Poisson Mixed Models with Adversarial Variational Methods 

Yaodong Yang, Rui Luo, Reza Khorshidi, Yuanyuan Liu

NeurIPS 2017 Workshop

PDF  |  

  • Thermostat-assisted Continuous-tempered Hamiltonian Monte Carlo for Multimodal Posterior Sampling

Rui Luo, Yaodong Yang, Jun Wang, Yuanyuan Liu

NeurIPS 2017 Workshop

PDF  |  

  • Variational Inference Methods for Tweedie Compound Poisson 

Yaodong Yang, Sergey Demyanov, Yuanyuan Liu, Jun Wang

ICML 2017 Workshop

PDF  |  

  • miRNA target prediction based on gene ontology

Ning Wang, Yang Wang, Yaodong Yang, Yi Shen, Ao Li

IEEE Computational Intelligence and Design, 2013

PDF  | 

Recent Talks:

  • Training A Population of Reinforcement Learning Agents

Yaodong Yang

DAI 2021

PDF  |  Video 

  • Multi-Agent Learning Basics

Yaodong Yang

RLChina 2021

PDF  |  Video 

  • Dealing with Non-transitivity in Two-Player Games

Yaodong Yang

IJTCS 2021

PDF  |    

  • Dealing with Non-transitivity in Two-Player Zero-Sum Games

Yaodong Yang

Synced (机器之心), 2021

PDF  | Video 

  • A General Framework for Solving Two-Player Zero-Sum Game

Yaodong Yang

Techbeat.com (将门创投), 2021

PDF  |  Video 

  • Advances of Multi-agent Learning in Gaming AI

Yaodong Yang

RLChina 2020

PDF  |  Video  

Patents:

  • Large-Scale Policy Evaluation in Multi-Agent Systems

PCT/EP2019/073406

  • A Bilevel Method and System for Designing Multi-Agent Systems and Simulations

PCT/EP2019/073406

  • A Non-Zero-Sum Game System Framework with Tractable Nash Equilibrium Solution

PCT/EP2020/065456

  • Device and Method for Approximating Nash Equilibrium in Two-Player Zero-Sum Games

PCT/EP2021/058392

  • A System and Framework for Optimal Decision Making in the Presence of Non-Stationary Opponents

PCT/EP2021/079853

  • Method, Apparatus, Electronic Device, And Computer-Readable Storage Medium for Distributing Orders

PCT/CN2020/083947