Ruijie Zheng

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 25

Top Topics

Sequential Decision Making

Reinforcement Learning

Convergence Proof

Top Venues

Publications

Guowei Xu, Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Zhecheng Yuan, Tianying Ji, Yu Luo, Xiaoyu Liu, Jiaxin Yuan, Pu Hua, Shuzhen Li, Yanjie Ze, Hal Daumé III, Furong Huang, Huazhe Xu
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. ICLR (2024)
Ruijie Zheng, Ching-An Cheng, Hal Daumé III, Furong Huang, Andrey Kolobov
PRISE: Learning Temporal Action Abstractions as a Sequence Compression Problem. CoRR (2024)
Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé III, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss. CoRR (2024)
Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization. CoRR (2024)
Xiyao Wang, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, Furong Huang
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL. ICLR (2024)
Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Benjamin Eysenbach, Tuomas Sandholm, Furong Huang, Stephen Marcus McAleer
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations. ICLR (2024)
Ruijie Zheng, Xiyao Wang, Huazhe Xu, Furong Huang
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function. ICLR (2023)
Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning. CoRR (2023)
Guowei Xu, Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Zhecheng Yuan, Tianying Ji, Yu Luo, Xiaoyu Liu, Jiaxin Yuan, Pu Hua, Shuzhen Li, Yanjie Ze, Hal Daumé III, Furong Huang, Huazhe Xu
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. CoRR (2023)
Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning. NeurIPS (2023)
Ruijie Zheng, Khanh Nguyen, Hal Daumé III, Furong Huang, Karthik Narasimhan
Progressively Efficient Learning. CoRR (2023)
Ruijie Zheng, Xiyao Wang, Huazhe Xu, Furong Huang
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function. CoRR (2023)
Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Tuomas Sandholm, Furong Huang, Stephen McAleer
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations. CoRR (2023)
Yao Wei, Yanchao Sun, Ruijie Zheng, Sai Vemprala, Rogerio Bonatti, Shuhang Chen, Ratnesh Madaan, Zhongjie Ba, Ashish Kapoor, Shuang Ma
Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training. ICCV (2023)
Yao Wei, Yanchao Sun, Ruijie Zheng, Sai Vemprala, Rogerio Bonatti, Shuhang Chen, Ratnesh Madaan, Zhongjie Ba, Ashish Kapoor, Shuang Ma
Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training. CoRR (2023)
Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang, Jieyu Zhao, Furong Huang
Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making. CoRR (2023)
Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang
Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication. ICLR (2023)
Xiyao Wang, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, Furong Huang
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL. CoRR (2023)
Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Furong Huang
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning. NeurIPS (2022)
Yanchao Sun, Ruijie Zheng, Yongyuan Liang, Furong Huang
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL. ICLR (2022)
Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems. CoRR (2022)
Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Furong Huang
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning. CoRR (2022)
Yanchao Sun, Ruijie Zheng, Xiyao Wang, Andrew E. Cohen, Furong Huang
Transfer RL across Observation Feature Spaces via Model-Based Regularization. ICLR (2022)
Yanchao Sun, Ruijie Zheng, Xiyao Wang, Andrew Cohen, Furong Huang
Transfer RL across Observation Feature Spaces via Model-Based Regularization. CoRR (2022)
Yanchao Sun, Ruijie Zheng, Yongyuan Liang, Furong Huang
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL. CoRR (2021)