Yaodong Yang

According to our database, Yaodong Yang authored at least 30 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DPPMask: Masked Image Modeling with Determinantal Point Processes.

Junde Xu, Zikai Lin, Donghao Zhou, Yaodong Yang, Xiangyun Liao, Qiong Wang, Bian Wu, Guangyong Chen, Pheng-Ann Heng

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Sample-Efficient Multiagent Reinforcement Learning with Reset Replay.

Yaodong Yang, Guangyong Chen, Jianye Hao, Pheng-Ann Heng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

DPPMask: Masked Image Modeling with Determinantal Point Processes.

Junde Xu, Zikai Lin, Donghao Zhou, Yaodong Yang, Xiangyun Liao, Bian Wu, Guangyong Chen, Pheng-Ann Heng

CoRR, 2023

Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks.

Jianye Hao, Xiaotian Hao, Hangyu Mao, Weixun Wang, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

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

Xiaotian Hao, Weixun Wang, Hangyu Mao, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang, Jianye Hao

CoRR, 2022

A Unified Diversity Measure for Multiagent Reinforcement Learning.

Zongkai Liu, Chao Yu, Yaodong Yang, Peng Sun, Zifan Wu, Yuan Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Yaodong Yang, Guangyong Chen, Weixun Wang, Xiaotian Hao, Jianye Hao, Pheng-Ann Heng

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator.

Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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

Tianze Zhou, Fubiao Zhang, Kun Shao, Kai Li, Wenhan Huang, Jun Luo, Weixun Wang, Yaodong Yang, Hangyu Mao, Bin Wang, Dong Li, Wulong Liu, Jianye Hao

CoRR, 2021

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

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction.

Hongyao Tang, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Jianye Hao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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 M. 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 I. Cowen-Rivers, Zheng Tian, Daniel Palenicek, Haitham Bou-Ammar, Hongbo Zhang, Wulong Liu, Jianye Hao, Jun Wang

CoRR, 2020

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

Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Wulong Liu, Yaodong Yang

CoRR, 2020

Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning.

Yaodong Yang, Jianye Hao, Ben Liao, Kun Shao, Guangyong Chen, Wulong Liu, Hongyao Tang

CoRR, 2020

Combining sequence and network information to enhance protein-protein interaction prediction.

Leilei Liu, Xianglei Zhu, Yi Ma, Haiyin Piao, Yaodong Yang, Xiaotian Hao, Yue Fu, Li Wang, Jiajie Peng

BMC Bioinform., 2020

Q-value Path Decomposition for Deep Multiagent Reinforcement Learning.

Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei

Proceedings of the 37th International Conference on Machine Learning, 2020

SMARTS: An Open-Source Scalable Multi-Agent RL 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, Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Zhengbang Zhu, Yihan Ni, Nhat M. Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander I. Cowen-Rivers, Sanjeevan Ahilan, Zheng Tian, Daniel Palenicek, Kasra Rezaee, Peyman Yadmellat, Kun Shao, Dong Chen, Baokuan Zhang, Hongbo Zhang, Jianye Hao, Wulong Liu, Jun Wang

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Spectral-based Graph Convolutional Network for Directed Graphs.

Yi Ma, Jianye Hao, Yaodong Yang, Han Li, Junqi Jin, Guangyong Chen

CoRR, 2019

Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction.

Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Zhaopeng Meng, Yaodong Yang, Li Wang

CoRR, 2019

Attention-based recurrent neural network for influenza epidemic prediction.

Xianglei Zhu, Bofeng Fu, Yaodong Yang, Yu Ma, Jianye Hao, Siqi Chen, Shuang Liu, Tiegang Li, Sen Liu, Weiming Guo, Zhenyu Liao

BMC Bioinform., 2019

Using deep reinforcement learning to speed up collective cell migration.

Hanxu Hou, Tian Gan, Yaodong Yang, Xianglei Zhu, Sen Liu, Weiming Guo, Jianye Hao

BMC Bioinform., 2019

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

Yaodong Yang, Jianye Hao, Yan Zheng, Chao Yu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

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

Leilei Liu, Yi Ma, Xianglei Zhu, Yaodong Yang, Xiaotian Hao, Li Wang, Jiajie Peng

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

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

Yaodong Yang, Jianye Hao, Yan Zheng, Xiaotian Hao, Bofeng Fu

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

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

Xiaotian Hao, Weixun Wang, Jianye Hao, Yaodong Yang

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

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

Yaodong Yang, Jianye Hao, Mingyang Sun, Zan Wang, Changjie Fan, Goran Strbac

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Speeding up Collective Cell Migration Using Deep Reinforcement Learning.

Tian Gan, Yaodong Yang, Jianye Hao, Zhenyu Liao, Xianglei Zhu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

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

Bofeng Fu, Yaodong Yang, Yu Ma, Jianye Hao, Siqi Chen, Shuang Liu, Tiegang Li, Zhenyu Liao, Xianglei Zhu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Recurrent Deep Multiagent Q-Learning for Autonomous Agents in Future Smart Grid.

Yaodong Yang, Jianye Hao, Zan Wang, Mingyang Sun, Goran Strbac

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

A real-time ensemble classification algorithm for time series data.

Xianglei Zhu, Shuai Zhao, Yaodong Yang, Hongyao Tang, Zan Wang, Jianye Hao

Proceedings of the IEEE International Conference on Agents, 2017