publications

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

2024

  1. ICML 2024
    PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control
    Ruijie Zheng , Ching-An Cheng , Hal Daumé III , and 2 more authors
    In International Conference on Machine Learning (Oral (1.5%)). The short version is presented as spotlight talk at CoRL 2023 Pre-Training for Robot Learning Workshop , 2024
  2. ICML 2024
    Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss
    Ruijie Zheng , Yongyuan Liang , Xiyao Wang , and 7 more authors
    In International Conference on Machine Learning , 2024
  3. ICML 2024
    ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization
    Tianying Ji , Yongyuan Liang , Yan Zeng , and 7 more authors
    In International Conference on Machine Learning (Oral (1.5%)) , 2024
  4. Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate
    Yuancheng Xu , Chenghao Deng , Yanchao Sun , and 4 more authors
    In , 2024
  5. ICLR 2024
    DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization
    Guowei* Xu , Ruijie* Zheng , Yongyuan* Liang , and 12 more authors
    In International Conference on Learning Representations (Spotlight (5%)) , 2024
  6. ICLR2024
    COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL
    Xiyao Wang , Ruijie Zheng , Yanchao Sun , and 4 more authors
    In The Twelfth International Conference on Learning Representations , 2024

2023

  1. ICLR2024
    Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
    Yongyuan Liang , Yanchao Sun , Ruijie Zheng , and 4 more authors
    In The Second Workshop on New Frontiers in Adversarial Machine Learning , 2023
  2. NeurIPS 2023
    TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
    Ruijie Zheng , Xiyao Wang , Yanchao Sun , and 5 more authors
    In Advances in Neural Information Processing Systems , 2023
  3. ICLR 2023
    Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function
    Ruijie Zheng , Xiyao Wang , Huazhe Xu , and 1 more author
    In International Conference on Learning Representations , 2023
  4. ICLR 2023
    Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication
    Yanchao Sun , Ruijie Zheng , Parisa Hassanzadeh , and 4 more authors
    In International Conference on Learning Representations , 2023
  5. ICCV 2023
    Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training
    Yao Wei , Yanchao Sun , Ruijie Zheng , and 7 more authors
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , Oct 2023

2022

  1. ICLR 2022
    Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL
    Yanchao Sun , Ruijie Zheng , Yongyuan Liang , and 1 more author
    In International Conference on Learning Representations , Oct 2022
  2. ICLR 2022
    Transfer RL across Observation Feature Spaces via Model-Based Regularization
    Yanchao Sun , Ruijie Zheng , Xiyao Wang , and 2 more authors
    In International Conference on Learning Representations , Oct 2022
  3. NeurIPS 2022
    Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning
    Yongyuan Liang , Yanchao Sun , Ruijie Zheng , and 1 more author
    In Advances in Neural Information Processing Systems , Oct 2022