Yaodong Yang

发表

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

Dong Chen, Weinan Zhang, Jun Wang, 2020, ArXiv.

Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games

Peng Peng, Yaodong Yang, Jun Wang, 2017, 1703.10069.

Multiagent Bidirectionally-Coordinated Nets for Learning to Play StarCraft Combat Games pdf

Jun Wang, Ying Wen, Yaodong Yang, 2017, ArXiv.

Represent Your Own Policies : Reinforcement Learning with Policy-extended Value Function Approximator

Yaodong Yang, D. Graves, Wulong Liu, 2022 .

What About Inputing Policy in Value Function: Policy Representation and Policy-extended Value Function Approximator

Yaodong Yang, D. Graves, Wulong Liu, 2020, 2010.09536.

Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning

Yaodong Yang, Ying Wen, Jun Wang, 2019, ICLR.

Inferring Tweedie Compound Poisson Mixed Models with Adversarial Variational Bayes

Yaodong Yang, Jun Wang, S. Demyanov, 2017 .

Adversarial Variational Inference for Tweedie Compound Poisson Models

Yaodong Yang, Jun Wang, S. Demyanov, 2017 .

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

Yaodong Yang, Ying Wen, Yingfeng Chen, 2021, NeurIPS.

On the Convergence of Fictitious Play: A Decomposition Approach

Yaodong Yang, Jun Wang, Chenchen Li, 2022, IJCAI.

A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers

Yaodong Yang, Jun Wang, Tiande Guo, 2021, ArXiv.

A Review of Safe Reinforcement Learning: Methods, Theory and Applications

Yaodong Yang, Jun Wang, Florian Walter, 2022, ArXiv.

A Review of Safe Reinforcement Learning: Methods, Theory and Applications

Yaodong Yang, Jun Wang, Florian Walter, 2022, ArXiv.

Efficient Policy Space Response Oracles

Ming Zhou, Yaodong Yang, Weinan Zhang, 2022, ArXiv.

Optimize output of a piezoelectric cantilever by machine learning ensemble algorithms

Yaodong Yang, Jinxu Du, Haobin Chen, 2022, Materials Today Communications.

Learning Risk-Averse Equilibria in Multi-Agent Systems

Yaodong Yang, Jun Wang, D. Mguni, 2022, ArXiv.

Fully Decentralized Model-based Policy Optimization for Networked Systems

Yaodong Yang, Jun Wang, Yali Du, 2022, ArXiv.

DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention

Yaodong Yang, Jun Wang, Changmin Yu, 2021, ArXiv.

Learning to Shape Rewards using a Game of Two Partners

Matthew E. Taylor, Yaodong Yang, Jun Wang, 2021, 2103.09159.

αα-Rank: Practically Scaling α-Rank through Stochastic Optimisation

Yaodong Yang, H. Ammar, Rasul Tutunov, 2019, AAMAS.

Background-free upconversion-encoded microspheres for mycotoxin detection based on a rapid visualization method

Yaodong Yang, Jianye Hao, Jin Chang, 2020, Analytical and Bioanalytical Chemistry.

Debias the Black-box: A Fair Ranking Framework via Knowledge Distillation

Yaodong Yang, Shijing Si, Jianzong Wang, 2022, WISE.

Constrained Update Projection Approach to Safe Policy Optimization

Yaodong Yang, Gang Pan, Pengfei Li, 2022, 2209.07089.

Scalable Model-based Policy Optimization for Decentralized Networked Systems

Yaodong Yang, Jun Wang, Yuchen Liu, 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL

Yaodong Yang, Jun Wang, Hao Dong, 2022, ArXiv.

Multi-Agent Reinforcement Learning is a Sequence Modeling Problem

Yaodong Yang, Weinan Zhang, Ying Wen, 2022, Neural Information Processing Systems.

Multi-Agent Reinforcement Learning is a Sequence Modeling Problem

Yaodong Yang, Weinan Zhang, Ying Wen, 2022, NeurIPS.

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

Yaodong Yang, Ying Wen, Jun Wang, 2021, NeurIPS.

Constrained Update Projection Approach to Safe Policy Optimization

Yaodong Yang, Gang Pan, Pengfei Li, 2022, NeurIPS.

Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks

Yaodong Yang, Weinan Zhang, Ying Wen, 2021, ArXiv.

MARLlib: Extending RLlib for Multi-agent Reinforcement Learning

Yaodong Yang, Xiaojun Chang, Xiaodan Liang, 2022, ArXiv.

ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency

Yaodong Yang, Wanli Ouyang, Jie Liu, 2022, AAAI.

GenDexGrasp: Generalizable Dexterous Grasping

Yaodong Yang, Siyuan Huang, Yixin Zhu, 2022, 2210.00722.

Speeding up Collective Cell Migration Using Deep Reinforcement Learning

Tian Gan, Zhenyu Liao, Jianye Hao, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

RLAfford: End-to-End Affordance Learning for Robotic Manipulation

Yaodong Yang, Hao Dong, Yuanpei Chen, 2022, 2023 IEEE International Conference on Robotics and Automation (ICRA).

Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing

Yaodong Yang, P. Heng, Jianye Hao, 2022, NeurIPS.

On the complexity of computing Markov perfect equilibrium in general-sum stochastic games

Yaodong Yang, Jun Wang, Xiaotie Deng, 2021, Electron. Colloquium Comput. Complex..

Is Nash Equilibrium Approximator Learnable?

Yaodong Yang, Jun Wang, Dinghuai Zhang, 2021, 2108.07472.

API: Boosting Multi-Agent Reinforcement Learning via Agent-Permutation-Invariant Networks

Yaodong Yang, Dong Li, Hangyu Mao, 2022, ArXiv.

Understanding Value Decomposition Algorithms in Deep Cooperative Multi-Agent Reinforcement Learning

Yaodong Yang, Zehao Dou, J. Kuba, 2022, ArXiv.

Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning

Yaodong Yang, Ying Wen, Jun Wang, 2021, ICLR.

Settling the Variance of Multi-Agent Policy Gradients

Yaodong Yang, Jun Wang, D. Mguni, 2021, NeurIPS.

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

Ying Wen, Yaodong Yang, Minne Li, 2021, DAI.

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

Yujing Hu, Yingfeng Chen, Ying Wen, 2021, ArXiv.

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

Yaodong Yang, Jun Wang, Yaodong Yang, 2020, ArXiv.

Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning pdf

Jianye Hao, Yaodong Yang, Wulong Liu, 2020, ArXiv.

Bi-level Actor-Critic for Multi-agent Coordination

Yaodong Yang, Weinan Zhang, Jun Wang, 2019, AAAI.

Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems pdf

Jianye Hao, Weixun Wang, Yaodong Yang, 2019, AAMAS.

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

Jun Wang, Jieping Ye, Yaodong Yang, 2019, WWW.

Multi-Agent Reinforcement Learning pdf

Jun Wang, Wei Pan, Ying Wen, 2020, Deep Reinforcement Learning.

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

Ying Wen, Ming Zhou, Weinan Zhang, 2018, DAI.

Mean Field Multi-Agent Reinforcement Learning

Ming Zhou, Weinan Zhang, Yaodong Yang, 2018, ICML.

Learning to Infer User Hidden States for Online Sequential Advertising

Jian Xu, Weinan Zhang, Kun Gai, 2020, CIKM.

Sequential Advertising Agent with Interpretable User Hidden Intents

Miao Xu, Jian Xu, Weinan Zhang, 2020, AAMAS.

Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning

Jianhong Wang, Zhanxing Zhu, Yaodong Yang, 2017, NeurIPS.

A Review of Safe Reinforcement Learning: Methods, Theory and Applications

Yaodong Yang, Jun Wang, Florian Walter, 2022, ArXiv.

Integrating Sequence and Network Information to Enhance Protein-Protein Interaction Prediction Using Graph Convolutional Networks

Yi Ma, Yaodong Yang, Xianglei Zhu, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Combining sequence and network information to enhance protein–protein interaction prediction

Yi Ma, Yaodong Yang, Xianglei Zhu, 2020, BMC Bioinformatics.

Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Reinforcement Learning Framework

Yan Zheng, Jianye Hao, Yaodong Yang, 2019, AAMAS.

Multi-Agent Determinantal Q-Learning

Yaodong Yang, Weinan Zhang, Ying Wen, 2020, ICML.

Discovering Multi-Agent Auto-Curricula in Two-Player Zero-Sum Games pdf

Xidong Feng, Ying Wen, Yaodong Yang, 2021, ArXiv.

Neural Auto-Curricula

Xidong Feng, Yaodong Yang, Stephen McAleer, 2021, 2106.02745.

Online Double Oracle

Le Cong Dinh, Nicolas Perez Nieves, Yaodong Yang, 2021, Trans. Mach. Learn. Res..

Attention-based recurrent neural network for influenza epidemic prediction

Jianye Hao, Yaodong Yang, Shuang Liu, 2019, BMC Bioinformatics.

Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning

Yaodong Yang, Song-Chun Zhu, Hao Dong, 2022, NeurIPS.

Multi-Agent Constrained Policy Optimisation

Yaodong Yang, Zheng Tian, Jun Wang, 2021, ArXiv.

Adversarial Variational Bayes Methods for Tweedie Compound Poisson Mixed Models

Yuanyuan Liu, Rui Luo, Yaodong Yang, 2017, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Inferring Tweedie Compound Poisson Mixed Models with Adversarial Variational Methods

Yaodong Yang, Rui Luo, Y. Liu, 2017 .

Learning in Nonzero-Sum Stochastic Games with Potentials

Ying Wen, Ziyi Wang, David Mguni, 2021, ICML.

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

Stefan Lessmann, Yaodong Yang, Ming-Chien Sung, 2018, Eur. J. Oper. Res..

Modelling Behavioural Diversity for Learning in Open-Ended Games

Yaodong Yang, Nicolas Perez Nieves, Jun Wang, 2021, ICML.

A Study of AI Population Dynamics with Million-agent Reinforcement Learning

Lantao Yu, Ying Wen, Weinan Zhang, 2017, AAMAS.

Spectral-based Graph Convolutional Network for Directed Graphs pdf

Yi Ma, Jianye Hao, Yaodong Yang, 2019, ArXiv.

Replica-exchange Nosé-Hoover dynamics for Bayesian learning on large datasets pdf

Qiang Zhang, Yaodong Yang, Rui Luo, 2019, NeurIPS.

Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid

Goran Strbac, Jianye Hao, Yaodong Yang, 2018, IJCAI.

GenDexGrasp: Generalizable Dexterous Grasping

Yaodong Yang, Siyuan Huang, Yixin Zhu, 2022, 2023 IEEE International Conference on Robotics and Automation (ICRA).

A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors

Yaodong Yang, Jan Peters, Yali Du, 2023, ArXiv.

Offline Pre-trained Multi-agent Decision Transformer

Yaodong Yang, Weinan Zhang, Ying Wen, 2023, Machine Intelligence Research.

OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research

Yaodong Yang, Juntao Dai, Jiaming Ji, 2023, ArXiv.

Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning

Yaodong Yang, Yali Du, Runze Liu, 2022, NeurIPS.

Contextual Transformer for Offline Meta Reinforcement Learning

Yaodong Yang, Yali Du, Jun Wang, 2022, ArXiv.

Measuring the Non-Transitivity in Chess pdf

Yaodong Yang, Jun Wang, Ricky Sanjaya, 2021, Algorithms.

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

Ying Wen, Yaodong Yang, Ziyu Wan, 2021, J. Mach. Learn. Res..

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

Matthew E. Taylor, Ying Wen, Jun Wang, 2021, AAMAS.

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

Yaodong Yang, Ying Wen, Jun Wang, 2019, IJCAI.

SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving

Nhat M. Nguyen, Ming Zhou, Julian Villela, 2020, CoRL.

Towards the PAC Learnability of Nash Equilibrium

Yaodong Yang, Jun Wang, Dinghuai Zhang, 2022 .

PAC Learnability of Approximate Nash Equilibrium in Bimatrix Games

Yaodong Yang, Jun Wang, Dinghuai Zhang, 2021 .

Heterogeneous-Agent Reinforcement Learning

Yaodong Yang, J. Kuba, Siyi Hu, 2023, ArXiv.

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

Nicolas Perez Nieves, Yaodong Yang, Jun Wang, 2021, ICLR.

Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment pdf

Jianye Hao, Weixun Wang, Hangyu Mao, 2021, ArXiv.

Learning to Shape Rewards using a Game of Switching Controls

Nicolas Perez Nieves, Yaodong Yang, Jun Wang, 2021, ArXiv.

$\alpha^{\alpha}$-Rank: Scalable Multi-agent Evaluation through Evolution

Yaodong Yang, Rasul Tutunov, Jun Wang, 2019 .

MANSA: Learning Fast and Slow in Multi-Agent Systems

Yaodong Yang, Jun Wang, Taher Jafferjee, 2023, ICML.

DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention

Yaodong Yang, Jun Wang, Changmin Yu, 2021, ArXiv.

Learning to Shape Rewards Using a Game of Two Partners

Nicolas Perez Nieves, Matthew E. Taylor, Yaodong Yang, 2021, AAAI.

Using deep reinforcement learning to speed up collective cell migration

Hanxu Hou, Jianye Hao, Yaodong Yang, 2019, BMC Bioinformatics.

A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems

Stefano B. Blumberg, Yaodong Yang, Jun Wang, 2022, ICML.

A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning

Yaodong Yang, Jun Wang, Bo Liu, 2021, NeurIPS.

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

Xidong Feng, Jun Wang, Bo Liu, 2021, ArXiv.

Heterogeneous Value Evaluation for Large Language Models

Yaodong Yang, Siyuan Qi, N. Liu, 2023, ArXiv.

MSRL: Distributed Reinforcement Learning with Dataflow Fragments

Yaodong Yang, P. Pietzuch, Gang Chen, 2022, USENIX Annual Technical Conference.

MARLlib: A Scalable Multi-agent Reinforcement Learning Library

Yaodong Yang, Xiaojun Chang, Xiaodan Liang, 2022, 2210.13708.

Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game

Yaodong Yang, Xianglong Liu, Xin Yu, 2023, ArXiv.

An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning pdf

Lantao Yu, Jun Wang, Ying Wen, 2017, ArXiv.

Solving Inventory Management Problems through Deep Reinforcement Learning

Yaodong Yang, Yijie Peng, Qinghao Wang, 2022, Journal of Systems Science and Systems Engineering.

αα-Rank: Practically Scaling α-Rank through Stochastic Optimisation

Haitham Bou-Ammar, Yaodong Yang, Rasul Tutunov, 2020, AAMAS.

BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset

Yaodong Yang, Yizhou Wang, Juntao Dai, 2023, ArXiv.

Q-value Path Decomposition for Deep Multiagent Reinforcement Learning pdf

Yujing Hu, Jianye Hao, Changjie Fan, 2020, ICML.

Large sequence models for sequential decision-making: a survey

Yaodong Yang, Weinan Zhang, Ying Wen, 2023, Frontiers of Computer Science.

GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models

Yaodong Yang, Ying Wen, J. Wang, 2023, ICML.

Offline Pre-trained Multi-agent Decision Transformer

Yaodong Yang, Weinan Zhang, Ying Wen, 2023, Machine Intelligence Research.

STAS: Spatial-Temporal Return Decomposition for Multi-agent Reinforcement Learning

Yaodong Yang, Yali Du, Sirui Chen, 2023, ArXiv.

αα-Rank: Scalable Multi-agent Evaluation through Evolution pdf

Haitham Bou-Ammar, Yaodong Yang, Jun Wang, 2019, ArXiv.

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

Qiang Zhang, Yuanyuan Liu, Yaodong Yang, 2018, ArXiv.

Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction

Jianye Hao, Zhaopeng Meng, Chen Chen, 2021, AAAI.

TorchOpt: An Efficient Library for Differentiable Optimization

Yaodong Yang, Luo Mai, Jie Ren, 2022, ArXiv.

A Unified Diversity Measure for Multiagent Reinforcement Learning

Yaodong Yang, Yuanyuan Li, Zifan Wu, 2022, NeurIPS.

Is Nash Equilibrium Approximator Learnable?

Yaodong Yang, Jun Wang, Dinghuai Zhang, 2021, AAMAS.

Multi-Agent Deep Reinforcement Learning for Multi-Echelon Inventory Management

Yaodong Yang, Yijie Peng, Xiaotian Liu, 2022, SSRN Electronic Journal.

Safe multi-agent reinforcement learning for multi-robot control

Yaodong Yang, Yali Du, Alois Knoll, 2023, Artif. Intell..

Q UALITY -S IMILAR D IVERSITY VIA P OPULATION B ASED R EINFORCEMENT L EARNING

Yaodong Yang, Qiang Fu, Wei Yang, 2023 .

Spectral-based Graph Convolutional Network for Directed Graphs

Yaodong Yang, Jianye Hao, Y. Ma, 2019, ArXiv.

ProAgent: Building Proactive Cooperative AI with Large Language Models

Yaodong Yang, Yitao Liang, F. Yin, 2023, ArXiv.

Ofﬂine Reinforcement Learning

Yaodong Yang, Jun Wang, Juliusz Krysztof, 2022 .

RLAfford: End-to-End Affordance Learning for Robotic Manipulation

Yaodong Yang, Hao Dong, Yuanpei Chen, 2023, IEEE International Conference on Robotics and Automation.

Online Markov decision processes with non-oblivious strategic adversary

Le Cong Dinh, Yaodong Yang, Jun Wang, 2021, Autonomous Agents and Multi-Agent Systems.

What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator pdf

Chen Chen, Yaodong Yang, Wulong Liu, 2020, ArXiv.

Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks

Yaodong Yang, Dong Li, Hangyu Mao, 2023, ICLR.

Regret-Minimizing Double Oracle for Extensive-Form Games

Le Cong Dinh, Yaodong Yang, S. McAleer, 2023, ICML.

BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset

Yaodong Yang, Yizhou Wang, Juntao Dai, 2023, NeurIPS.

Inferring Tweedie Compound Poisson Mixed Models with Adversarial Variational Bayes

Yaodong Yang, Rui Luo, Yuanyuan Liu, 2017, 1706.05446.

Policy Space Diversity for Non-Transitive Games

Yaodong Yang, Qiang Fu, Wei Yang, 2023, ArXiv.

ProAgent: Building Proactive Cooperative Agents with Large Language Models

Yaodong Yang, Yitao Liang, F. Yin, 2023, AAAI.

Maximum Entropy Heterogeneous-Agent Reinforcement Learning

Yaodong Yang, Xiaojun Chang, Qiang Fu, 2023, 2306.10715.

Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game

Yaodong Yang, Xianglong Liu, Xin Yu, 2023, ArXiv.

MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library

Yaodong Yang, Xiaojun Chang, Xiaodan Liang, 2022, 2210.13708.

Breaking the Curse of Dimensionality in Multiagent State Space: A Unified Agent Permutation Framework

Yaodong Yang, Dong Li, Hangyu Mao, 2022, 2203.05285.

MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control

Yaodong Yang, Song-Chun Zhu, Fangwei Zhong, 2022, NeurIPS.

Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks

Yaodong Yang, Junge Zhang, Qiyue Yin, 2023, AAAI.

Revisiting the Characteristics of Stochastic Gradient Noise and Dynamics pdf

Rui Luo, Yaodong Yang, Jun Wang, 2021, ArXiv.

Order Execution Probability and Order Queue in Limit Order Markets

Yaodong Yang, Qiang Zhang, Chao Wang, 2020, J. Syst. Sci. Complex..

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

Yaodong Yang, Jieping Ye, Jun Wang, 2019, WWW.

Attention-Based Recurrent Multi-Channel Neural Network for Influenza Epidemic Prediction

Zhenyu Liao, Jianye Hao, Yaodong Yang, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Heterogeneous Value Alignment Evaluation for Large Language Models

Yaodong Yang, Siyuan Qi, N. Liu, 2023, 2305.17147.