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2020 – today
- 2024
[c14]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- [c13]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 - [c12]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 - [c11]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. ICML 2024 - [c10]Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang, Jieyu Zhao, Furong Huang:
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate. ICML 2024 - [c9]Ruijie Zheng, Ching-An Cheng, Hal Daumé III, Furong Huang, Andrey Kolobov:
PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control. ICML 2024 - [c8]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. ICML 2024 - [i15]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 abs/2402.06187 (2024) - [i14]Ruijie Zheng, Ching-An Cheng, Hal Daumé III, Furong Huang, Andrey Kolobov:
PRISE: Learning Temporal Action Abstractions as a Sequence Compression Problem. CoRR abs/2402.10450 (2024) - [i13]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 abs/2402.14528 (2024) - 2023
- [c7]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: 16175-16185 - [c6]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 - [c5]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 - [c4]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 - [i12]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 abs/2302.01244 (2023) - [i11]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 abs/2306.13229 (2023) - [i10]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 abs/2307.07909 (2023) - [i9]Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Tuomas Sandholm, Furong Huang, Stephen McAleer:
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations. CoRR abs/2307.12062 (2023) - [i8]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 abs/2309.03426 (2023) - [i7]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 abs/2310.07220 (2023) - [i6]Ruijie Zheng, Khanh Nguyen, Hal Daumé III, Furong Huang, Karthik Narasimhan:
Progressively Efficient Learning. CoRR abs/2310.13004 (2023) - [i5]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 abs/2310.19668 (2023) - 2022
- [c3]Yanchao Sun, Ruijie Zheng, Yongyuan Liang, Furong Huang:
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL. ICLR 2022 - [c2]Yanchao Sun, Ruijie Zheng, Xiyao Wang, Andrew E. Cohen, Furong Huang:
Transfer RL across Observation Feature Spaces via Model-Based Regularization. ICLR 2022 - [c1]Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Furong Huang:
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning. NeurIPS 2022 - [i4]Yanchao Sun, Ruijie Zheng, Xiyao Wang, Andrew E. Cohen, Furong Huang:
Transfer RL across Observation Feature Spaces via Model-Based Regularization. CoRR abs/2201.00248 (2022) - [i3]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 abs/2206.10158 (2022) - [i2]Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Furong Huang:
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning. CoRR abs/2210.05927 (2022) - 2021
- [i1]Yanchao Sun, Ruijie Zheng, Yongyuan Liang, Furong Huang:
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL. CoRR abs/2106.05087 (2021)
Coauthor Index
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