Yaodong Yang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 29

Top Topics

Reinforcement Learning

Convolutional Network

Top Venues

Publications

Junde Xu, Zikai Lin, Donghao Zhou, Yaodong Yang, Xiangyun Liao, Qiong Wang, Bian Wu, Guangyong Chen, Pheng-Ann Heng
DPPMask: Masked Image Modeling with Determinantal Point Processes. WACV (2024)
Junde Xu, Zikai Lin, Donghao Zhou, Yaodong Yang, Xiangyun Liao, Bian Wu, Guangyong Chen, Pheng-Ann Heng
DPPMask: Masked Image Modeling with Determinantal Point Processes. CoRR (2023)
Jianye Hao, Xiaotian Hao, Hangyu Mao, Weixun Wang, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang
Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks. ICLR (2023)
Zongkai Liu, Chao Yu, Yaodong Yang, Peng Sun, Zifan Wu, Yuan Li
A Unified Diversity Measure for Multiagent Reinforcement Learning. NeurIPS (2022)
Siyi Hu, Yifan Zhong, Minquan Gao, Weixun Wang, Hao Dong, Zhihui Li, Xiaodan Liang, Xiaojun Chang, Yaodong Yang
MARLlib: Extending RLlib for Multi-agent Reinforcement Learning. CoRR (2022)
Xiaotian Hao, Weixun Wang, Hangyu Mao, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang, Jianye Hao
API: Boosting Multi-Agent Reinforcement Learning via Agent-Permutation-Invariant Networks. CoRR (2022)
Huanzhou Zhu, Bo Zhao, Gang Chen, Weifeng Chen, Yijie Chen, Liang Shi, Yaodong Yang, Peter R. Pietzuch, Lei Chen
MSRL: Distributed Reinforcement Learning with Dataflow Fragments. CoRR (2022)
Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Zhaopeng Meng
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. CoRR (2021)
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
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment. CoRR (2021)
Hongyao Tang, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Jianye Hao
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. AAAI (2021)
Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Wulong Liu, Yaodong Yang
What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator. CoRR (2020)
Leilei Liu, Xianglei Zhu, Yi Ma, Haiyin Piao, Yaodong Yang, Xiaotian Hao, Yue Fu, Li Wang, Jiajie Peng
Combining sequence and network information to enhance protein-protein interaction prediction. BMC Bioinform. (16) (2020)
Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. ICML (2020)
Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. CoRR (2020)
Yaodong Yang, Jianye Hao, Ben Liao, Kun Shao, Guangyong Chen, Wulong Liu, Hongyao Tang
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning. CoRR (2020)
Xiaotian Hao, Weixun Wang, Jianye Hao, Yaodong Yang
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems. CoRR (2019)
Hanxu Hou, Tian Gan, Yaodong Yang, Xianglei Zhu, Sen Liu, Weiming Guo, Jianye Hao
Using deep reinforcement learning to speed up collective cell migration. BMC Bioinform. (18) (2019)
Xiaotian Hao, Weixun Wang, Jianye Hao, Yaodong Yang
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems. AAMAS (2019)
Xianglei Zhu, Bofeng Fu, Yaodong Yang, Yu Ma, Jianye Hao, Siqi Chen, Shuang Liu, Tiegang Li, Sen Liu, Weiming Guo, Zhenyu Liao
Attention-based recurrent neural network for influenza epidemic prediction. BMC Bioinform. (18) (2019)
Leilei Liu, Yi Ma, Xianglei Zhu, Yaodong Yang, Xiaotian Hao, Li Wang, Jiajie Peng
Integrating Sequence and Network Information to Enhance Protein-Protein Interaction Prediction Using Graph Convolutional Networks. BIBM (2019)
Yaodong Yang, Jianye Hao, Yan Zheng, Xiaotian Hao, Bofeng Fu
Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Reinforcement Learning Framework. AAMAS (2019)
Yi Ma, Jianye Hao, Yaodong Yang, Han Li, Junqi Jin, Guangyong Chen
Spectral-based Graph Convolutional Network for Directed Graphs. CoRR (2019)
Yaodong Yang, Jianye Hao, Yan Zheng, Chao Yu
Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework. IJCAI (2019)
Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Zhaopeng Meng, Yaodong Yang, Li Wang
Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction. CoRR (2019)
Yaodong Yang, Jianye Hao, Zan Wang, Mingyang Sun, Goran Strbac
Recurrent Deep Multiagent Q-Learning for Autonomous Agents in Future Smart Grid. AAMAS (2018)
Yaodong Yang, Jianye Hao, Mingyang Sun, Zan Wang, Changjie Fan, Goran Strbac
Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid. IJCAI (2018)
Bofeng Fu, Yaodong Yang, Yu Ma, Jianye Hao, Siqi Chen, Shuang Liu, Tiegang Li, Zhenyu Liao, Xianglei Zhu
Attention-Based Recurrent Multi-Channel Neural Network for Influenza Epidemic Prediction. BIBM (2018)
Tian Gan, Yaodong Yang, Jianye Hao, Zhenyu Liao, Xianglei Zhu
Speeding up Collective Cell Migration Using Deep Reinforcement Learning. BIBM (2018)
Xianglei Zhu, Shuai Zhao, Yaodong Yang, Hongyao Tang, Zan Wang, Jianye Hao
A real-time ensemble classification algorithm for time series data. ICA (2017)