Zheng, Ruijie

27 publications

ICML 2025 A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control Zilin Kang, Chenyuan Hu, Yu Luo, Zhecheng Yuan, Ruijie Zheng, Huazhe Xu

CoRL 2025 DreamGen: Unlocking Generalization in Robot Learning Through Video World Models Joel Jang, Seonghyeon Ye, Zongyu Lin, Jiannan Xiang, Johan Bjorck, Yu Fang, Fengyuan Hu, Spencer Huang, Kaushil Kundalia, Yen-Chen Lin, Loïc Magne, Ajay Mandlekar, Avnish Narayan, You Liang Tan, Guanzhi Wang, Jing Wang, Qi Wang, Yinzhen Xu, Xiaohui Zeng, Kaiyuan Zheng, Ruijie Zheng, Ming-Yu Liu, Luke Zettlemoyer, Dieter Fox, Jan Kautz, Scott Reed, Yuke Zhu, Linxi Fan

CoRL 2025 FLARE: Robot Learning with Implicit World Modeling Ruijie Zheng, Jing Wang, Scott Reed, Johan Bjorck, Yu Fang, Fengyuan Hu, Joel Jang, Kaushil Kundalia, Zongyu Lin, Loïc Magne, Avnish Narayan, You Liang Tan, Guanzhi Wang, Qi Wang, Jiannan Xiang, Yinzhen Xu, Seonghyeon Ye, Jan Kautz, Furong Huang, Yuke Zhu, Linxi Fan

CVPR 2025 Magma: A Foundation Model for Multimodal AI Agents Jianwei Yang, Reuben Tan, Qianhui Wu, Ruijie Zheng, Baolin Peng, Yongyuan Liang, Yu Gu, Mu Cai, Seonghyeon Ye, Joel Jang, Yuquan Deng, Jianfeng Gao

ICLR 2025 TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies Ruijie Zheng, Yongyuan Liang, Shuaiyi Huang, Jianfeng Gao, Hal Daumé Iii, Andrey Kolobov, Furong Huang, Jianwei Yang

ICML 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

ICML 2024 Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies Towards Equal Long-Term Benefit Rate Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang, Jieyu Zhao, Furong Huang

ICLR 2024 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

ICLR 2024 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

ICLR 2024 Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Benjamin Eysenbach, Tuomas Sandholm, Furong Huang, Stephen Marcus McAleer

ICML 2024 PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control Ruijie Zheng, Ching-An Cheng, Hal Daumé Iii, Furong Huang, Andrey Kolobov

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, Shuang Ma, Hal Daumé Iii, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang

NeurIPSW 2023 $\texttt{PREMIER-TACO}$ 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 Basu, Furong Huang

NeurIPS 2023 $\texttt{TACO}$: 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

NeurIPSW 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

ICLR 2023 Certifiably Robust Policy Learning Against Adversarial Multi-Agent Communication Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang

ICMLW 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

ICMLW 2023 Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Tuomas Sandholm, Furong Huang, Stephen Marcus McAleer

ICCV 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

ICLR 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

NeurIPSW 2023 Progressively Efficient Communication Khanh Nguyen, Ruijie Zheng, Hal Daumé Iii, Furong Huang, Karthik Narasimhan

NeurIPS 2022 Efficient Adversarial Training Without Attacking: Worst-Case-Aware Robust Reinforcement Learning Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Furong Huang

NeurIPSW 2022 Is Model Ensemble Necessary? Model-Based RL via a Single Model with Lipschitz Regularized Value Function Ruijie Zheng, Xiyao Wang, Huazhe Xu, Furong Huang

ICLR 2022 Transfer RL Across Observation Feature Spaces via Model-Based Regularization Yanchao Sun, Ruijie Zheng, Xiyao Wang, Andrew E Cohen, Furong Huang

ICLR 2022 Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL Yanchao Sun, Ruijie Zheng, Yongyuan Liang, Furong Huang

NeurIPSW 2021 Transfer RL Across Observation Feature Spaces via Model-Based Regularization Yanchao Sun, Ruijie Zheng, Xiyao Wang, Andrew E Cohen, Furong Huang

NeurIPSW 2021 Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL Yanchao Sun, Ruijie Zheng, Yongyuan Liang, Furong Huang