Rundong Wang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 34

Top Topics

Learning Agents

Reinforcement Learning

Information Bottleneck

Top Venues

IEEE Signal Process. Lett.

Publications

Longtao Zheng, Rundong Wang, Xinrun Wang, Bo An
Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control. ICLR (2024)
Rundong Wang, Weigang Zhu, Chenxuan Li, Bakun Zhu, Hongfeng Pang
PP-ISEA: An Efficient Algorithm for High-Resolution Three-Dimensional Geometry Reconstruction of Space Targets Using Limited Inverse Synthetic Aperture Radar Images. Sensors 24 (11) (2024)
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
Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective. ICLR (2023)
Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, Changjie Fan
Off-Beat Multi-Agent Reinforcement Learning. AAMAS (2023)
Zhuoyi Lin, Sheng Zang, Rundong Wang, Zhu Sun, J. Senthilnath, Chi Xu, Chee Keong Kwoh
Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Rundong Wang, Bohao Li, Wei Ren, Jie He
CCBTC: A Blockchain-Based Covert Communication Scheme over Bitcoin Transactions. APWeb-WAIM (1) (2023)
Shuo Sun, Rundong Wang, Bo An
Reinforcement Learning for Quantitative Trading. ACM Trans. Intell. Syst. Technol. 14 (3) (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
Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective. CoRR (2023)
Jiayi Sun, Zhaoyang Xu, Rundong Wang, Renwen Zhang
A decentralized algorithm for the resource allocation in the mobile edge system of the Internet of Vehicles. ICISCAE (2023)
Longtao Zheng, Rundong Wang, Bo An
Synapse: Leveraging Few-Shot Exemplars for Human-Level Computer Control. CoRR (2023)
Rundong Wang, Longtao Zheng, Wei Qiu, Bowei He, Bo An, Zinovi Rabinovich, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan
Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning. CoRR (2023)
Zhuoyi Lin, Sheng Zang, Rundong Wang, Zhu Sun, Chi Xu, Chee Keong Kwoh
Attention over Self-attention: Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation. CoRR (2022)
Shuo Sun, Rundong Wang, Bo An
Quantitative Stock Investment by Routing Uncertainty-Aware Trading Experts: A Multi-Task Learning Approach. CoRR (2022)
Shuo Sun, Wanqi Xue, Rundong Wang, Xu He, Junlei Zhu, Jian Li, Bo An
DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunities. CIKM (2022)
Shuo Sun, Rundong Wang, Xu He, Junlei Zhu, Jian Li, Bo An
DeepScalper: A Risk-Aware Deep Reinforcement Learning Framework for Intraday Trading with Micro-level Market Embedding. CoRR (2022)
Bo An, Shuo Sun, Rundong Wang
Deep Reinforcement Learning for Quantitative Trading: Challenges and Opportunities. IEEE Intell. Syst. 37 (2) (2022)
Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, Changjie Fan
Off-Beat Multi-Agent Reinforcement Learning. CoRR (2022)
Wei Qiu, Xinrun Wang, Runsheng Yu, Rundong Wang, Xu He, Bo An, Svetlana Obraztsova, Zinovi Rabinovich
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents. NeurIPS (2021)
Rundong Wang, Hongxin Wei, Bo An, Zhouyan Feng, Jun Yao
Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management. AAAI (2021)
Hang Xu, Rundong Wang, Lev Raizman, Zinovi Rabinovich
Transferable Environment Poisoning: Training-time Attack on Reinforcement Learning. AAMAS (2021)
Wei Qiu, Xinrun Wang, Runsheng Yu, Xu He, Rundong Wang, Bo An, Svetlana Obraztsova, Zinovi Rabinovich
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents. CoRR (2021)
Yiming Li, Rundong Wang, Yulin Hu, Junan Yang, Xiaoxia Cai
Defensive Compressive Time Delay Estimation Using Information Bottleneck. IEEE Signal Process. Lett. 28 (2021)
Shuo Sun, Rundong Wang, Bo An
Reinforcement Learning for Quantitative Trading. CoRR (2021)
Minxiu Kong, Rundong Wang, Yanchun Cheng, Jubo Yang
Analysis of Kinematic Relationship of Superposition Cooperative Dual-Industrial Robot. CIPAE (2020)
Zhenyu Shi, Runsheng Yu, Xinrun Wang, Rundong Wang, Youzhi Zhang, Hanjiang Lai, Bo An
Learning Expensive Coordination: An Event-Based Deep RL Approach. ICLR (2020)
Hongxin Wei, Lei Feng, Rundong Wang, Bo An
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting. CoRR (2020)
Rundong Wang, Minxiu Kong, Yanchun Cheng, Marco Castellani
Time-Optimal Trajectory Planning Based on Dynamics for Industrial Robot. CACRE (2020)
Rundong Wang, Xu He, Runsheng Yu, Wei Qiu, Bo An, Zinovi Rabinovich
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach. ICML (2020)
Rundong Wang, Hongxin Wei, Bo An, Zhouyan Feng, Jun Yao
Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management. CoRR (2020)
Xu He, Bo An, Yanghua Li, Haikai Chen, Rundong Wang, Xinrun Wang, Runsheng Yu, Xin Li, Zhirong Wang
Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication. RecSys (2020)
Xu He, Bo An, Yanghua Li, Haikai Chen, Rundong Wang, Xinrun Wang, Runsheng Yu, Xin Li, Zhirong Wang
Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication. CoRR (2020)
Rundong Wang, Runsheng Yu, Bo An, Zinovi Rabinovich
I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning. IJCAI (2020)
Runsheng Yu, Zhenyu Shi, Xinrun Wang, Rundong Wang, Buhong Liu, Xinwen Hou, Hanjiang Lai, Bo An
Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning. CoRR (2019)
Rundong Wang, Xu He, Runsheng Yu, Wei Qiu, Bo An, Zinovi Rabinovich
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach. CoRR (2019)