A real-time ensemble classification algorithm for time series data. - Xianglei Zhu; Shuai Zhao; Yaodong Yang 002; Hongyao Tang; Zan Wang; Jianye Hao (ICA, 2017)

Recurrent Deep Multiagent Q-Learning for Autonomous Agents in Future Smart Grid. - Yaodong Yang 002; Jianye Hao; Zan Wang; Mingyang Sun; Goran Strbac (AAMAS, 2018)

Attention-Based Recurrent Multi-Channel Neural Network for Influenza Epidemic Prediction. - Bofeng Fu; Yaodong Yang 002; Yu Ma; Jianye Hao; Siqi Chen 001; Shuang Liu 007; Tiegang Li; Zhenyu Liao; Xianglei Zhu (BIBM, 2018)

Speeding up Collective Cell Migration Using Deep Reinforcement Learning. - Tian Gan; Yaodong Yang 002; Jianye Hao; Zhenyu Liao; Xianglei Zhu (BIBM, 2018)

Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid. - Yaodong Yang 002; Jianye Hao; Mingyang Sun; Zan Wang; Changjie Fan; Goran Strbac (IJCAI, 2018)

Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems. - Xiaotian Hao; Weixun Wang; Jianye Hao; Yaodong Yang 002 (AAMAS, 2019)

Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Reinforcement Learning Framework. - Yaodong Yang 002; Jianye Hao; Yan Zheng 002; Xiaotian Hao; Bofeng Fu (AAMAS, 2019)

Integrating Sequence and Network Information to Enhance Protein-Protein Interaction Prediction Using Graph Convolutional Networks. - Leilei Liu; Yi Ma 005; Xianglei Zhu; Yaodong Yang 002; Xiaotian Hao; Li Wang; Jiajie Peng (BIBM, 2019)

Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework. - Yaodong Yang 002; Jianye Hao; Yan Zheng 002; Chao Yu 004 (IJCAI, 2019)

Using deep reinforcement learning to speed up collective cell migration. - Hanxu Hou; Tian Gan; Yaodong Yang 002; Xianglei Zhu; Sen Liu; Weiming Guo; Jianye Hao (BMC Bioinform., 2019)

Attention-based recurrent neural network for influenza epidemic prediction. - Xianglei Zhu; Bofeng Fu; Yaodong Yang 002; Yu Ma; Jianye Hao; Siqi Chen 001; Shuang Liu 007; Tiegang Li; Sen Liu; Weiming Guo; Zhenyu Liao (BMC Bioinform., 2019)

Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction. - Hongyao Tang; Jianye Hao; Guangyong Chen; Pengfei Chen 003; Zhaopeng Meng; Yaodong Yang 002; Li Wang (CoRR, 2019)

Spectral-based Graph Convolutional Network for Directed Graphs. - Yi Ma 005; Jianye Hao; Yaodong Yang 002; Han Li 005; Junqi Jin; Guangyong Chen (CoRR, 2019)

SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. - Ming Zhou 006; Jun Luo 009; Julian Villela; Yaodong Yang 002; David Rusu; Jiayu Miao; Weinan Zhang 001; Montgomery Alban; Iman Fadakar; Zheng Chen; Chongxi Huang; Ying Wen 001; et al. (CoRL, 2020)

Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. - Yaodong Yang 002; Jianye Hao; Guangyong Chen; Hongyao Tang; Yingfeng Chen; Yujing Hu; Changjie Fan; Zhongyu Wei (ICML, 2020)

Combining sequence and network information to enhance protein-protein interaction prediction. - Leilei Liu; Xianglei Zhu; Yi Ma 005; Haiyin Piao; Yaodong Yang 002; Xiaotian Hao; Yue Fu; Li Wang; Jiajie Peng (BMC Bioinform., 2020)

Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning. - Yaodong Yang 002; Jianye Hao; Ben Liao; Kun Shao; Guangyong Chen; Wulong Liu; Hongyao Tang (CoRR, 2020)

What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator. - Hongyao Tang; Zhaopeng Meng; Jianye Hao; Chen Chen 077; Daniel Graves; Dong Li 016; Wulong Liu; Yaodong Yang 002 (CoRR, 2020)

SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. - Ming Zhou 006; Jun Luo 009; Julian Villela; Yaodong Yang 002; David Rusu; Jiayu Miao; Weinan Zhang 001; Montgomery Alban; Iman Fadakar; Zheng Chen; Aurora Chongxi Huang; Ying Wen 001; et al. (CoRR, 2020)

Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. - Hongyao Tang; Zhaopeng Meng; Guangyong Chen; Pengfei Chen 003; Chen Chen 077; Yaodong Yang 002; Luo Zhang; Wulong Liu; Jianye Hao (AAAI, 2021)

Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems. - Yaodong Yang 002; Jun Luo 009; Ying Wen 001; Oliver Slumbers; Daniel Graves; Haitham Bou-Ammar; Jun Wang 012; Matthew E. Taylor (AAMAS, 2021)

Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment. - Tianze Zhou; Fubiao Zhang; Kun Shao; Kai Li 022; Wenhan Huang; Jun Luo 009; Weixun Wang; Yaodong Yang 002; Hangyu Mao; Bin Wang 034; Dong Li 016; Wulong Liu; et al. (CoRR, 2021)

What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator. - Hongyao Tang; Zhaopeng Meng; Jianye Hao; Chen Chen 077; Daniel Graves; Dong Li 016; Changmin Yu; Hangyu Mao; Wulong Liu; Yaodong Yang 002; Wenyuan Tao; Li Wang (AAAI, 2022)

Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing. - Yaodong Yang 002; Guangyong Chen; Weixun Wang; Xiaotian Hao; Jianye Hao; Pheng-Ann Heng (NeurIPS, 2022)

A Unified Diversity Measure for Multiagent Reinforcement Learning. - Zongkai Liu; Chao Yu 004; Yaodong Yang 002; Peng Sun; Zifan Wu; Yuan Li (NeurIPS, 2022)

API: Boosting Multi-Agent Reinforcement Learning via Agent-Permutation-Invariant Networks. - Xiaotian Hao; Weixun Wang; Hangyu Mao; Yaodong Yang 002; Dong Li 016; Yan Zheng 002; Zhen Wang 004; Jianye Hao (CoRR, 2022)

Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks. - Jianye Hao; Xiaotian Hao; Hangyu Mao; Weixun Wang; Yaodong Yang 002; Dong Li 016; Yan Zheng 002; Zhen Wang 004 (ICLR, 2023)

DPPMask: Masked Image Modeling with Determinantal Point Processes. - Junde Xu; Zikai Lin; Donghao Zhou; Yaodong Yang 002; Xiangyun Liao; Bian Wu; Guangyong Chen; Pheng-Ann Heng (CoRR, 2023)

Sample-Efficient Multiagent Reinforcement Learning with Reset Replay. - Yaodong Yang 002; Guangyong Chen; Jianye Hao; Pheng-Ann Heng (ICML, 2024)

DPPMask: Masked Image Modeling with Determinantal Point Processes. - Junde Xu; Zikai Lin; Donghao Zhou; Yaodong Yang 002; Xiangyun Liao; Qiong Wang 001; Bian Wu; Guangyong Chen; Pheng-Ann Heng (WACV, 2024)

Dual Ensembled Multiagent Q-Learning with Hypernet Regularizer. - Yaodong Yang 002; Guangyong Chen; Hongyao Tang; Furui Liu; Danruo Deng; Pheng-Ann Heng (AAMAS, 2025)