Yiqi Wang

I am a first-year master student in robotics (MSR) at Robotics Institute, Carnegie Mellon University (CMU), supervised by Prof. Jeff Schneider. Previously, I am an ECE master student (CMU) worked with Prof. Yuejie Chi and Prof. Chris Atkeson. I received my BS from University of Wisconsin-Madison in Computer Science, and worked as an undergraduate researcher at Informatics Skunkworks, under the supervision of Prof. Dane Morgan.

Email / Resume (Feb 2024) / Google Scholar / Github /

Research Interests

I am interested in building foundational model for decision making, especially for robots. Compared to foundational model for vision and text where high quality data are available online and are continuelly growing, robot data has to be explicitly collected, which is much smaller in scale. It limits the chance to build foundational model for robots. I believe the key to bypass this issue is to design algorithms that could leverage offline data from different types of agents (including robot of different setting and human) with embodiment mismatches. If more types of data can be leveraged, then more data will be available for training a model, and more likely a better model can be built.

Projects

Scalable Dynamic Resource Allocation via Domain Randomized Reinforcement Learning
Yiqi Wang, Laixi Shi, Martin Hyungwoo Lee, Jaroslaw Sydir, Zhu Zhou, Yuejie Chi, Bin Li,
IEEE GLOBECOM, 2024
[paper] [poster]

[read more]

A trajectory is worth three sentences: multimodal transformer for offline reinforcement learning
Yiqi Wang, Mengdi Xu, Laixi Shi, Yuejie Chi,
Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, (UAI), 2023
[paper] [code] [presentation]

[read more]

Automatic Speech Recognition Meets Language Modeling
Yiqi Wang, Jianyu Mao, Aditya Rathod, [code]

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Website template from Jon Barron.