publications

\* denotes equal contributions or alphabetical order.

2023

  1. NeurIPS 2023
    TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
    Zheng, Ruijie, Wang, Xiyao, Sun, Yanchao, Ma, Shuang, Zhao, Jieyu, Xu, Huazhe, Daumé, Hal, and Huang, Furong
    In Advances in Neural Information Processing Systems 2023
  2. ICLR 2023
    Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function
    Zheng, Ruijie, Wang, Xiyao, Xu, Huazhe, and Huang, Furong
    In International Conference on Learning Representations 2023
    Spotlight Presentation at NeurIPS 2022 DeepRL Workshop
  3. ICLR 2023
    Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication
    Sun, Yanchao, Zheng, Ruijie, Hassanzadeh, Parisa, Liang, Yongyuan, Feizi, Soheil, Ganesh, Sumitra, and Huang, Furong
    In International Conference on Learning Representations 2023

2022

  1. ICLR 2022
    Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL
    Sun, Yanchao, Zheng, Ruijie, Liang, Yongyuan, and Huang, Furong
    In International Conference on Learning Representations 2022
    Best Paper Award in NeurIPS 2021 Workshop of Safe and Robust Control of Uncertain Systems
  2. ICLR 2022
    Transfer RL across Observation Feature Spaces via Model-Based Regularization
    Sun, Yanchao, Zheng, Ruijie, Wang, Xiyao, Cohen, Andrew E, and Huang, Furong
    In International Conference on Learning Representations 2022
  3. NeurIPS 2022
    Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning
    Liang, Yongyuan, Sun, Yanchao, Zheng, Ruijie, and Huang, Furong
    In Advances in Neural Information Processing Systems 2022