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Rundong Wang
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2020 – today
- 2024
- [j5]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): 3550 (2024) - [c15]Longtao Zheng, Rundong Wang, Xinrun Wang, Bo An:
Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control. ICLR 2024 - [i15]Wenyan Xu, Rundong Wang, Chen Li, Yonghong Hu, Zhonghua Lu:
HRFT: Mining High-Frequency Risk Factor Collections End-to-End via Transformer. CoRR abs/2408.01271 (2024) - 2023
- [j4]Shuo Sun
, Rundong Wang
Reinforcement Learning for Quantitative Trading. ACM Trans. Intell. Syst. Technol. 14(3): 44:1-44:29 (2023) - [j3]Zhuoyi Lin
Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation. IEEE Trans. Knowl. Data Eng. 35(8): 7782-7795 (2023) - [c14]Rundong Wang, Bohao Li, Wei Ren, Jie He:
CCBTC: A Blockchain-Based Covert Communication Scheme over Bitcoin Transactions. APWeb-WAIM (1) 2023: 466-480 - [c13]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: 2424-2426 - [c12]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: 915-923 - [c11]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 - [i14]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 abs/2302.03429 (2023) - [i13]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 abs/2304.11632 (2023) - [i12]Longtao Zheng, Rundong Wang, Bo An:
Synapse: Leveraging Few-Shot Exemplars for Human-Level Computer Control. CoRR abs/2306.07863 (2023) - 2022
- [j2]Bo An
Deep Reinforcement Learning for Quantitative Trading: Challenges and Opportunities. IEEE Intell. Syst. 37(2): 23-26 (2022) - [c10]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: 1858-1867 - [i11]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 abs/2201.05333 (2022) - [i10]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 abs/2201.09058 (2022) - [i9]Wei Qiu, Weixun Wang
Off-Beat Multi-Agent Reinforcement Learning. CoRR abs/2205.13718 (2022) - [i8]Shuo Sun, Rundong Wang, Bo An:
Quantitative Stock Investment by Routing Uncertainty-Aware Trading Experts: A Multi-Task Learning Approach. CoRR abs/2207.07578 (2022) - 2021
- [j1]Yiming Li
Defensive Compressive Time Delay Estimation Using Information Bottleneck. IEEE Signal Process. Lett. 28: 1968-1972 (2021) - [c9]Rundong Wang, Hongxin Wei, Bo An, Zhouyan Feng, Jun Yao:
Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management. AAAI 2021: 626-633 - [c8]Hang Xu, Rundong Wang, Lev Raizman, Zinovi Rabinovich:
Transferable Environment Poisoning: Training-time Attack on Reinforcement Learning. AAMAS 2021: 1398-1406 - [c7]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: 23049-23062 - [i7]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 abs/2102.08159 (2021) - [i6]Shuo Sun, Rundong Wang, Bo An:
Reinforcement Learning for Quantitative Trading. CoRR abs/2109.13851 (2021) - 2020
- [c6]Rundong Wang, Minxiu Kong, Yanchun Cheng, Marco Castellani:
Time-Optimal Trajectory Planning Based on Dynamics for Industrial Robot. CACRE 2020: 53-57 - [c5]Minxiu Kong, Rundong Wang, Yanchun Cheng, Jubo Yang:
Analysis of Kinematic Relationship of Superposition Cooperative Dual-Industrial Robot. CIPAE 2020: 140-143 - [c4]Zhenyu Shi, Runsheng Yu, Xinrun Wang, Rundong Wang, Youzhi Zhang
Learning Expensive Coordination: An Event-Based Deep RL Approach. ICLR 2020 - [c3]Rundong Wang, Xu He, Runsheng Yu, Wei Qiu, Bo An, Zinovi Rabinovich:
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach. ICML 2020: 9908-9918 - [c2]Rundong Wang
I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning. IJCAI 2020: 3131-3138 - [c1]Xu He
Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication. RecSys 2020: 210-219 - [i5]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 abs/2008.09369 (2020) - [i4]Hongxin Wei, Lei Feng, Rundong Wang, Bo An:
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting. CoRR abs/2012.05273 (2020) - [i3]Rundong Wang, Hongxin Wei, Bo An, Zhouyan Feng, Jun Yao:
Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management. CoRR abs/2012.12620 (2020)
2010 – 2019
- 2019
- [i2]Rundong Wang, Xu He
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach. CoRR abs/1911.06992 (2019) - [i1]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 abs/1911.07712 (2019)
Coauthor Index
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last updated on 2024-09-26 23:44 CEST by the dblp team
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