Ruijie Zheng

According to our database, Ruijie Zheng authored at least 16 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization.

Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu

CoRR, 2024

PRISE: Learning Temporal Action Abstractions as a Sequence Compression Problem.

Ruijie Zheng, Ching-An Cheng, Hal Daumé III, Furong Huang, Andrey Kolobov

CoRR, 2024

Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss.

Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé III, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang

CoRR, 2024

2023

DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization.

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

CoRR, 2023

Progressively Efficient Learning.

Ruijie Zheng, Khanh Nguyen, Hal Daumé III, Furong Huang, Karthik Narasimhan

CoRR, 2023

COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL.

Xiyao Wang, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, Furong Huang

CoRR, 2023

Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making.

Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang, Jieyu Zhao, Furong Huang

CoRR, 2023

Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations.

Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Tuomas Sandholm, Furong Huang, Stephen McAleer

CoRR, 2023

TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning.

Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function.

Ruijie Zheng, Xiyao Wang, Huazhe Xu, Furong Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication.

Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training.

Yao Wei, Yanchao Sun, Ruijie Zheng, Sai Vemprala, Rogerio Bonatti, Shuhang Chen, Ratnesh Madaan, Zhongjie Ba, Ashish Kapoor, Shuang Ma

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems.

Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang

CoRR, 2022

Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning.

Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Furong Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Transfer RL across Observation Feature Spaces via Model-Based Regularization.

Yanchao Sun, Ruijie Zheng, Xiyao Wang, Andrew E. Cohen, Furong Huang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL.

Yanchao Sun, Ruijie Zheng, Yongyuan Liang, Furong Huang

Proceedings of the Tenth International Conference on Learning Representations, 2022