publications

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

2026

  1. simdist.gif
    Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation
    Jacob Levy*, Tyler Westenbroek*, Kevin Huang, and 6 more authors
    In , 2026
    arXiv Code Website
    3 Google Scholar citations
  2. mpail2-vis.gif
    Online World Modeling Enables Real-World Inverse Reinforcement Learning from Observation
    Tyler Han, Bat Nemekhbold, Siyang Shen, and 6 more authors
    In , 2026
    arXiv Code Website
    0 Google Scholar citations
  3. lampshade_stitching.gif
    Using Non-Expert Data to Robustify Imitation Learning via Offline Reinforcement Learning
    Kevin Huang*, Rosario Scalise*, Cleah Winston, and 6 more authors
    In IEEE International Conference on Robotics (ICRA), 2026
    arXiv Code Website
    2 Google Scholar citations

2025

  1. sgft.gif
    Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning
    Patrick Yin*, Tyler Westenbroek*, Simran Bagaria, and 4 more authors
    In International Conference on Learning Representations (ICLR), 2025
    arXiv Code Website
    26 Google Scholar citations

2024

  1. sim2real.png
    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
    49 Google Scholar citations

2023

  1. datt.gif
    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
    66 Google Scholar citations
  2. dppo.png
    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
    25 Google Scholar citations
  3. grad.png
    Automatic Gradient Descent: Deep Learning without Hyperparameters
    Jermey Bernstein*, Chris Mingard*, Kevin Huang, and 2 more authors
    arXiv preprint arXiv:2304.05187, 2023
    arXiv
    23 Google Scholar citations

2021

  1. cem-gd.png
    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
    10 Google Scholar citations