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Yaodong Yang 0002
Person information
- affiliation: Chinese University of Hong Kong, Hong Kong
- affiliation (former): Huawei Noah's Ark Lab, China
- affiliation (former): Tianjin University, Tianjin, China
Other persons with the same name
- Yaodong Yang — disambiguation page
- Yaodong Yang 0001
(aka: Adam Yang 0001) — Peking University, Institute for AI, Beijing, China (and 3 more)
- Yaodong Yang 0003 — University of Nebraska - Lincoln, USA
- Yaodong Yang 0004 — University of Science and Technology Beijing, Beijing, China
- Yaodong Yang 0005 — Hefei University of Technology, School of Mathematics, China
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2020 – today
- 2024
- [c19]Yaodong Yang, Guangyong Chen, Jianye Hao, Pheng-Ann Heng:
Sample-Efficient Multiagent Reinforcement Learning with Reset Replay. ICML 2024 - [c18]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: 2255-2265 - 2023
- [c17]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 - [i12]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 abs/2303.12736 (2023) - 2022
- [c16]Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang:
What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator. AAAI 2022: 8441-8449 - [c15]Yaodong Yang, Guangyong Chen, Weixun Wang, Xiaotian Hao, Jianye Hao, Pheng-Ann Heng:
Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing. NeurIPS 2022 - [c14]Zongkai Liu, Chao Yu, Yaodong Yang, Peng Sun, Zifan Wu, Yuan Li:
A Unified Diversity Measure for Multiagent Reinforcement Learning. NeurIPS 2022 - [i11]Xiaotian Hao, Weixun Wang
API: Boosting Multi-Agent Reinforcement Learning via Agent-Permutation-Invariant Networks. CoRR abs/2203.05285 (2022) - 2021
- [c13]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: 9834-9842 - [c12]Yaodong Yang, Jun Luo, Ying Wen, Oliver Slumbers, Daniel Graves, Haitham Bou-Ammar, Jun Wang, Matthew E. Taylor:
Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems. AAMAS 2021: 51-56 - [i10]Yaodong Yang, Jun Luo, Ying Wen, Oliver Slumbers, Daniel Graves, Haitham Bou-Ammar, Jun Wang, Matthew E. Taylor:
Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems. CoRR abs/2102.07659 (2021) - [i9]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 abs/2103.02225 (2021) - [i8]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 abs/2106.00517 (2021) - 2020
- [j3]Leilei Liu, Xianglei Zhu, Yi Ma, Haiyin Piao
Combining sequence and network information to enhance protein-protein interaction prediction. BMC Bioinform. 21-S(16): 537 (2020) - [c11]Ming Zhou
SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. CoRL 2020: 264-285 - [c10]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: 10706-10715 - [i7]Yaodong Yang, Jianye Hao, Ben Liao, Kun Shao, Guangyong Chen, Wulong Liu, Hongyao Tang:
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning. CoRR abs/2002.03939 (2020) - [i6]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 abs/2002.03950 (2020) - [i5]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 abs/2010.09536 (2020) - [i4]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
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. CoRR abs/2010.09776 (2020)
2010 – 2019
- 2019
- [j2]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. 20-S(18): 571:1-571:10 (2019) - [j1]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. 20-S(18): 575:1-575:10 (2019) - [c9]Xiaotian Hao, Weixun Wang, Jianye Hao, Yaodong Yang:
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems. AAMAS 2019: 1315-1323 - [c8]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: 2285-2287 - [c7]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: 1762-1768 - [c6]Yaodong Yang
Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework. IJCAI 2019: 630-636 - [i3]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 abs/1905.11100 (2019) - [i2]Yi Ma, Jianye Hao, Yaodong Yang, Han Li, Junqi Jin, Guangyong Chen:
Spectral-based Graph Convolutional Network for Directed Graphs. CoRR abs/1907.08990 (2019) - [i1]Xiaotian Hao, Weixun Wang, Jianye Hao, Yaodong Yang:
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems. CoRR abs/1909.11468 (2019) - 2018
- [c5]Yaodong Yang, Jianye Hao, Zan Wang, Mingyang Sun, Goran Strbac:
Recurrent Deep Multiagent Q-Learning for Autonomous Agents in Future Smart Grid. AAMAS 2018: 2136-2138 - [c4]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: 1245-1248 - [c3]Tian Gan, Yaodong Yang, Jianye Hao, Zhenyu Liao, Xianglei Zhu:
Speeding up Collective Cell Migration Using Deep Reinforcement Learning. BIBM 2018: 1277-1280 - [c2]Yaodong Yang
Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid. IJCAI 2018: 569-575 - 2017
- [c1]Xianglei Zhu, Shuai Zhao, Yaodong Yang, Hongyao Tang, Zan Wang, Jianye Hao:
A real-time ensemble classification algorithm for time series data. ICA 2017: 145-150
Coauthor Index
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