Amber Li

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Hi! I am a first-year Ph.D. student in the Robotics Institute at Carnegie Mellon University, advised by Prof. David Held. I’m broadly interested in creating intelligent embodied agents that can learn and act in dynamic environments over long time horizons.

Previously I received my B.S. and M.Eng. in computer science from MIT, where I was a part of the Learning and Intelligent Systems Group and worked with Tom Silver, advised by Leslie Kaelbling. I have also spent some time as a software engineer at Two Sigma. In my free time, I love running, reading, and playing the violin.

Email / CV / Google Scholar

publications

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    Embodied Active Learning of Relational State Abstractions for Bilevel Planning
    Amber Li, and Tom Silver
    In Conference on Lifelong Learning Agents (CoLLAs), 2023
  2. Leader-based Decision Learning for Cooperative Multi-Agent Reinforcement Learning
    Wenqi Chen, Xin Zeng, and Amber Li
    In Decision Awareness in Reinforcement Learning Workshop at ICML 2022, 2022