Huao Li 李胡傲

Postdoc at Massachusetts Institute of Technology (MIT)

Hi, I am a Postdoctoral Fellow for Engineering Excellence in the Laboratory for Information and Decision Systems (LIDS) at MIT. I work with Prof. Chuchu Fan and the REALM lab on human-centered AI for robotics.

I received my Ph.D. in Intelligent Systems from University of Pittsburgh, where I worked with Prof. Michael Lewis and Prof. Katia Sycara at CMU Robotics Institute. I obtained my Bachelor’s degree in Applied Psychology at Zhejiang University. I have also worked as a Research Intern at the Honda Research Institute USA and Alibaba Group.

My research advances human-agent teamwork at the intersection of AI, HCI, and robotics. I study how to build effective artificial teammates and how interactions between humans and AI shape team behavior and collective outcomes. My work combines insights from social science with probabilistic modeling, large language models, and multi-agent reinforcement learning to develop agents and robots that adapt, communicate, and collaborate with humans in dynamic social environments.

I am on the job market for Fall 2027.

news

Sep 04, 2026 Our paper Bayesian Active Learning for Intent Disambiguation in Interactive Robot Planning got accepted at CoRL 2026 as a Spotlight paper (top 4%)! See you in Austin!
Sep 18, 2025 Our paper Modeling Latent Partner Strategies for Adaptive Zero-Shot Human-Agent Collaboration got accepted at NeurIPS 2025! See you in San Diego.
Sep 01, 2025 I joined MIT as an Engineering Excellence Postdoctoral Fellow!
Jul 21, 2025 I defenced my Ph.D. thesis A Computational Framework for Efficient Human-Agent Teamwork at University of Pittsburgh.

selected publications

  1. CoRL
    Bayesian Active Learning for Intent Disambiguation in Interactive Robot Planning
    Huao Li, Carson Sobolewski, Augustinos Saravanos, William Tan, John Karigiannis, and Chuchu Fan
    In Conference on Robot Learning, 2026
  2. NeurIPS
    Adaptively Coordinating with Novel Partners via Learned Latent Strategies
    Benjamin Li, Shuyang Shi, Lucia Romero, Huao Li, Yaqi Xie, Woojun Kim, Stefanos Nikolaidis, Michael Lewis, Katia Sycara, and Simon Stepputtis
    Advances in Neural Information Processing Systems, 2025
  3. NeurIPS
    Language grounded multi-agent reinforcement learning with human-interpretable communication
    Huao Li, Hossein Nourkhiz Mahjoub, Behdad Chalaki, Vaishnav Tadiparthi, Kwonjoon Lee, Ehsan Moradi Pari, Charles Lewis, and Katia Sycara
    Advances in Neural Information Processing Systems, 2024
  4. EMNLP
    Theory of Mind for Multi-Agent Collaboration via Large Language Models
    In The 2023 Conference on Empirical Methods in Natural Language Processing, 2023
  5. SMC
    Personalized Decision Supports based on Theory of Mind Modeling and Explainable Reinforcement Learning
    Huao Li, Yao Fan, Keyang Zheng, Michael Lewis, and Katia Sycara
    In The 2023 IEEE Conference on Systems, Man, and Cybernetics, 2023
  6. IEEE T-CDS
    Interpretable learned emergent communication for human–agent teams
    Seth Karten, Mycal Tucker, Huao Li, Siva Kailas, Michael Lewis, and Katia Sycara
    IEEE Transactions on Cognitive and Developmental Systems, 2023
  7. RO-MAN
    Theory of mind modeling in search and rescue teams
    Huao Li, Ini Oguntola, Dana Hughes, Michael Lewis, and Katia Sycara
    In 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2022
  8. IEEE T-HMS
    Individualized mutual adaptation in human-agent teams
    Huao Li, Tianwei Ni, Siddharth Agrawal, Fan Jia, Suhas Raja, Yikang Gui, Dana Hughes, Michael Lewis, and Katia Sycara
    IEEE Transactions on Human-Machine Systems, 2021
  9. NeurIPS
    Emergent discrete communication in semantic spaces
    Mycal Tucker, Huao Li, Siddharth Agrawal, Dana Hughes, Katia Sycara, Michael Lewis, and Julie A Shah
    Advances in neural information processing systems, 2021
  10. AIES
    Perceptions of domestic robots’ normative behavior across cultures
    Huao Li, Stephanie Milani, Vigneshram Krishnamoorthy, Michael Lewis, and Katia Sycara
    In Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019
  11. AIES
    Transparency and explanation in deep reinforcement learning neural networks
    Rahul Iyer, Yuezhang Li, Huao Li, Michael Lewis, Ramitha Sundar, and Katia Sycara
    In Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018