publications

2025

  1. L4DC
    Safe Learning in the Real World via Adaptive Shielding with Hamilton-Jacobi Reachability
    Michael Lu, Jashanraj Gosain, Luna Sang, and Mo Chen
    Learning for Dynamics and Control Conference (L4DC), 2025
  2. Fast Confidence-Aware Human Prediction via Hardware-accelerated Bayesian Inference for Safe Robot Navigation
    Michael Lu, Minh Bui, Xubo Lyu, and Mo Chen
    In submission, 2025

2024

  1. RLJ
    Towards Principled, Practical Policy Gradient for Bandits and Tabular MDPs
    Michael Lu, Matin Aghaei, Anant Raj, and Sharan Vaswani
    Reinforcement Learning Journal (RLJ), 2024
    PDF Code

2021

  1. IROS
    Real-time Hamilton-Jacobi reachability analysis of autonomous system with an fpga
    Minh Bui, Michael Lu, Reza Hojabr, Mo Chen, and Arrvindh Shriraman
    In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
    PDF