Selected Publications
Conferences
- PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning
Hangyu Mao, Rui Zhao, Ziyue Li, Zhiwei Xu, Hao Chen, Yiqun Chen, Bin Zhang, Zhen Xiao, Junge Zhang and Jiangjin Yin
AAMAS2024(Oral):the 23rd International Conference on Autonomous Agents and Multi-Agent Systems
[arXiv] [Code] [bibTeX] - Uncertainty Quantification via Spatial-Temporal Tweedie Model for Sparse and Long-tail Travel Demand Prediction
Xinke Jiang, Dingyi Zhuang, Xianghui Zhang, Hao Chen, Jiayuan Luo, Xiaowei Gao
CIKM2023(Poster):the 32nd ACM International Conference on Information and Knowledge Management
[Paper] [arXiv] [Code] [Poster] [bibTeX] - Explicitly Learning Policy Under Partial Observability in Multiagent Reinforcement Learning
Chen Yang, Guangkai Yang, Hao Chen, Junge Zhang
IJCNN2023(Oral):the 2022 International Joint Conference on Neural Networks
[Paper] [Slides] [bibTeX] - Underexplored Subspace Mining for Sparse-Reward Cooperative Multi-Agent Reinforcement Learning
Yang Yu, Qiyue Yin, Junge Zhang, Hao Chen, Kaiqi Huang
IJCNN2023(Oral):the 2022 International Joint Conference on Neural Networks
[Paper] [Slides] [bibTeX] - Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu, Bin Zhang, Dapeng Li, Zeren Zhang, Guangchong Zhou, Hao Chen, Guoliang Fan
AAAI2023(Oral):the 37th AAAI Conference on Artificial Intelligence
[Paper] [arXiv] [Code] [bibTeX] - RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning
Hao Chen, Guangkai Yang, Junge Zhang, Qiyue Yin, Kaiqi Huang
IJCNN2022(Oral):the 2022 International Joint Conference on Neural Networks
[Paper] [arXiv] [Slides] [bibTeX]
- Multi-Agent Uncertainty Sharing for Cooperative Multi-Agent Reinforcement Learning
Guangkai Yang, Hao Chen, Junge Zhang, Qiyue Yin, Kaiqi Huang
IJCNN2022(Oral):the 2022 International Joint Conference on Neural Networks
[Paper] [Slides] [bibTeX] - FGA-NAS: Fast Resource-Constrained Architecture Search by Greedy-ADMM Algorithm
Yifei Chen, Junge Zhang, Qiaozhe Li, Hao Chen, Kaiqi Huang
IJCNN2022(Oral):the 2022 International Joint Conference on Neural Networks
[Paper] [Slides] [bibTeX] - Layer-Wisely Supervised Learning for One-Shot Neural Architecture Search
Yifei Chen, Zhourui Guo, Qiyue Yin, Hao Chen, Kaiqi Huang
IJCNN2022(Poster):the 2022 International Joint Conference on Neural Networks
[Paper] [bibTeX]
Journals
Workshop Papers
Pre-prints
- Timeseries Suppliers Allocation Risk Optimization via Deep Black Litterman Model
Jiayuan Luo, Wentao Zhang, Yuchen Fang, Xiaowei Gao, Dingyi Zhuang, Hao Chen, Xinke Jiang
[arXiv] [Code] [bibTeX] - Transformer in Transformer as Backbone for Deep Reinforcement Learning
Hangyu Mao, Rui Zhao, Hao Chen, Jianye Hao, Yiqun Chen, Dong Li, Junge Zhang, Zhen Xiao
[arXiv] [Code] [bibTeX]
Patents
- Privacy-preserved Fully Decentralized Multi-agent Reinforcement Learning for Networked Social Systems
(多智能体通信方法、装置、存储介质和电子设备) CN: CN117579358A
Junge Zhang, Dan Qiao, Hao Chen
[Link] - Learning Stochastic Credit Assignment for Cooperative Multi-Agent Reinforcement Learning
(多智能体信用分配方法、装置、可读存储介质和智能体) CN: CN115660110B
Junge Zhang, Mingyi Zhang, Guangkai Yang, Hao Chen, Kaiqi Huang, Dandan Chen, Lu Wang
[Link] [Link] [Link] - Learning Ensemble Credit Assignment for Multi-Agent Reinforcement Learning
(基于集成学习的多智能体信用分配方法、系统、设备) CN: CN115018017A
Junge Zhang, Kaiqi Huang, Hao Chen, Guangkai Yang
[Link] [Link] [Link]
