publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

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    Using Non-Expert Data to Robustify Imitation Learning via Offline Reinforcement Learning
    Kevin Huang*, Rosario Scalise*, Cleah Winston, and 6 more authors
    In , 2025
    arXiv Website
  2. Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning
    Patrick Yin*, Tyler Westenbroek*, Simran Bagaria, and 4 more authors
    In , 2025
    arXiv Website
    N/A Google Scholar citations

2024

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    Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL
    Andrew Wagenmaker, Kevin Huang, Liyiming Ke, and 3 more authors
    In Advances in Neural Information Processing Systems, 2024
    arXiv
    N/A Google Scholar citations

2023

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    DATT: Deep adaptive trajectory tracking for quadrotor control
    Kevin Huang, Rwik Rana, Alex Spitzer, and 2 more authors
    In Conference on Robot Learning, 2023
    arXiv Code Website
    N/A Google Scholar citations
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    Deep Model Predictive Optimization
    Jake Sacks, Rwik Rana, Kevin Huang, and 3 more authors
    In IEEE International Conference on Robotics and Automation (ICRA), 2023
    arXiv
    N/A Google Scholar citations
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    Automatic Gradient Descent: Deep Learning without Hyperparameters
    Jermey Bernstein*, Chris Mingard*, Kevin Huang, and 2 more authors
    arXiv preprint arXiv:2304.05187, 2023
    arXiv
    N/A Google Scholar citations

2021

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    CEM-GD: Cross Entropy Method with Gradient Descent for Model Based Reinforcement Learning
    Kevin Huang, Sahin Lale, Rosalia Ugo, and 2 more authors
    arXiv preprint arXiv:2112.07746, 2021
    arXiv Blog
    N/A Google Scholar citations