Publications

2022

  1. ICML
    Towards Uniformly Superhuman Autonomy via Subdominance Minimization
    Ziebart, Brian, Choudhury, Sanjiban, Yan, Xinyan, and Vernaza, Paul
    In International Conference on Machine Learning 2022
  2. arXiv
    Minimax Optimal Online Imitation Learning via Replay Estimation
    Swamy, Gokul, Rajaraman, Nived, Peng, Matthew, Choudhury, Sanjiban, Bagnell, J Andrew, Wu, Zhiwei Steven, Jiao, Jiantao, and Ramchandran, Kannan
    arXiv preprint arXiv:2205.15397 2022
  3. ICML
    Causal Imitation Learning under Temporally Correlated Noise
    Swamy, Gokul, Choudhury, Sanjiban, Bagnell, J. Andrew, and Wu, Zhiwei Steven
    In International Conference on Machine Learning 2022

2021

  1. AuRo
    Expert Intervention Learning
    Spencer, Jonathan, Choudhury, Sanjiban, Barnes, Matthew, Schmittle, Matthew, Chiang, Mung, Ramadge, Peter, and Srinivasa, Sidd
    Autonomous Robots 2021
  2. arXiv
    Feedback in Imitation Learning: The Three Regimes of Covariate Shift
    Spencer, Jonathan, Choudhury, Sanjiban, Venkatraman, Arun, Ziebart, Brian, and Bagnell, J Andrew
    arXiv preprint arXiv:2102.02872 2021
  3. ICML
    Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap
    Swamy, Gokul, Choudhury, Sanjiban, Bagnell, J. Andrew, and Wu, Steven
    In International Conference on Machine Learning 2021
  4. ICLR
    Blending mpc & value function approximation for efficient reinforcement learning
    Bhardwaj, Mohak, Choudhury, Sanjiban, and Boots, Byron
    2021
  5. IROS
    Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts
    Lee, G., Hou, B., Choudhury, S., and Srinivasa, S.S
    2021

2020

  1. RSS
    Learning from Interventions: Human-robot interaction as both explicit and implicit feedback
    Spencer, J., Choudhury, S., Barnes, M., and Srinivasa, S.
    In Robotics: Science and Systems 2020
  2. WAFR
    Imitation Learning as f-Divergence Minimization
    Ke, L., Choudhury, S., Barnes, M., Sun, W., Lee, G., and Srinivasa, S.
    In Workshop on the Algorithmic Foundations of Robotics 2020