Longtao Zheng
longtao001 at e.ntu.edu.sg

I am a Ph.D student in the School of Computer Science and Engineering at Nanyang Technological University (NTU), working with Prof. Bo An and Prof. Shuicheng Yan.

I received Bachelor of Computer Science at University of Science and Technology of China (USTC) in June 2022. During that time, I worked with wonderful mentors: Dr. Yujing Hu, Prof. Jianmin Ji, and Prof. Fei Chiang.

My research interests are RL and AI agents.

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Preprints and Publications
  • AgentStudio: A Toolkit for Building General Virtual Agents
    Longtao Zheng*, Zhiyuan Huang*, Zhenghai Xue, Xinrun Wang, Bo An, Shuicheng Yan (*Equal contribution)
    Preprint, 2024 / Paper / Code / Documentation / Leaderboard / Dataset & Benchmark

  • Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study
    W. Tan, Z. Ding, W. Zhang, B. Li, B. Zhou, J. Yue, H. Xia, J. Jiang, Longtao Zheng, X. Xu, Y. Bi, P. Gu, X. Wang, B. Karlsson, B. An, Z. Lu
    ICLR 2024 Workshop on LLM Agents / Paper / Project Page / Code

  • A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist
    W. Zhang, L. Zhao, H. Xia, S. Sun, J. Sun, M. Qin, X. Li, Y. Zhao, Y. Zhao, X. Cai, Longtao Zheng, X. Wang, B. An
    Preprint, 2024 / Paper

  • Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control
    Longtao Zheng, Rundong Wang, Xinrun Wang, Bo An
    ICLR 2024 / NeurIPS 2023 Foundation Models for Decision Making Workshop / Paper / Project Page / Code

  • True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning
    Weihao Tan, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang, Bo An
    ICLR 2024 / Paper

  • Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification
    Dong Xing, Pengjie Gu, Qian Zheng, Xinrun Wang, Shanqi Liu, Longtao Zheng, Bo An, Gang Pan
    ICML 2023 / Paper

  • Learning Asynchronous Communication in Multi-Agent Reinforcement Learning
    Rundong Wang, Pengqian Yu, Longtao Zheng, Bo An, Zinovi Rabinovich, Shuicheng Yan, Zhongwen Xu
    AAMAS 2024 (extended abstract)

  • Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning
    Rundong Wang*, Longtao Zheng*, Wei Qiu, Bowei He, Bo An, Zinovi Rabinovich, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan (*Equal contribution)
    Preprint, 2022 / Paper / Code

  • MAGENTA: Multi-agent Multi-game Entity Transformer
    Rundong Wang, Weixuan Wang, Xianhan Zeng, Longtao Zheng, Zinovi Rabinovich, Bo An, Zhenjie Lian, Yiming Gao, Feiyu Liu, Siqin Li, Xianliang Wang, Lanxiao Huang, Liang Wang, Qiang Fu, Yang Wei
    Preprint, 2022 / Paper

  • Contextual Data Cleaning with Ontology Functional Dependencies
    Zheng Zheng, Longtao Zheng, Morteza Alipourlangouri, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta, Sridevi Baskaran
    ACM Journal of Data and Information Quality (JDIQ), 2022 / Paper

Experiences

Research Intern, NetEase Fuxi AI Lab RL Group (Hangzhou, China), Oct 2021 - Jun 2022. (Mentor: Dr. Yujing Hu)

Research Intern, USTC Robotics Lab, Feb 2020 - Mar 2021. (Mentor: Prof. Jianmin Ji)

Research Intern, McMaster University Data Science Lab, Jun 2020 - Nov 2020. (Mentor: Prof. Fei Chiang)
Talks

Introducing Synapse, LLMDM@DAI23, Nov 2023

Recent advances in AI agents, Skywork AI, Nov 2023

Opportunities in AI Agents, RLChina, Sep 2023

Autocurricula for Reinforcement Learning, NetEase Fuxi AI Lab, Oct 2021
Academic Services

NeurIPS 2023 FMDM Workshop, Program Committee