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Rundong Wang

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Synapse: Leveraging Few-Shot Exemplars for Human-Level Computer Control

Jun 13, 2023
Longtao Zheng, Rundong Wang, Bo An

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Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective

Apr 23, 2023
Yiming Gao, Feiyu Liu, Liang Wang, Zhenjie Lian, Weixuan Wang, Siqin Li, Xianliang Wang, Xianhan Zeng, Rundong Wang, Jiawei Wang, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu

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Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning

Feb 07, 2023
Rundong Wang, Longtao Zheng, Wei Qiu, Bowei He, Bo An, Zinovi Rabinovich, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan

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Off-Beat Multi-Agent Reinforcement Learning

May 27, 2022
Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, Changjie Fan

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Attention over Self-attention:Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation

Jan 14, 2022
Zhuoyi Lin, Sheng Zang, Rundong Wang, Zhu Sun, Chi Xu, Chee-Keong Kwoh

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DeepScalper: A Risk-Aware Deep Reinforcement Learning Framework for Intraday Trading with Micro-level Market Embedding

Dec 15, 2021
Shuo Sun, Rundong Wang, Xu He, Junlei Zhu, Jian Li, Bo An

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Reinforcement Learning for Quantitative Trading

Sep 28, 2021
Shuo Sun, Rundong Wang, Bo An

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RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents

Feb 17, 2021
Wei Qiu, Xinrun Wang, Runsheng Yu, Xu He, Rundong Wang, Bo An, Svetlana Obraztsova, Zinovi Rabinovich

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Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management

Dec 23, 2020
Rundong Wang, Hongxin Wei, Bo An, Zhouyan Feng, Jun Yao

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MetaInfoNet: Learning Task-Guided Information for Sample Reweighting

Dec 09, 2020
Hongxin Wei, Lei Feng, Rundong Wang, Bo An

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