Yongyuan Liang

According to our database, Yongyuan Liang authored at least 13 papers between 2019 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

Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies.

Xiangyu Liu, Chenghao Deng, Yanchao Sun, Yongyuan Liang, Furong Huang

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

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

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

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

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

2021

InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks.

Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

FDNAS: Improving Data Privacy and Model Diversity in AutoML.

Chunhui Zhang, Yongyuan Liang, Xiaoming Yuan, Lei Cheng

CoRR, 2020

Parallel Knowledge Transfer in Multi-Agent Reinforcement Learning.

Yongyuan Liang, Bangwei Li

CoRR, 2020

2019

An LC Wireless Microfluidic Sensor Based on Low Temperature Co-Fired Ceramic (LTCC) Technology.

Yongyuan Liang, Mingsheng Ma, Faqiang Zhang, Feng Liu, Zhifu Liu, Dong Wang, Yongxiang Li

Sensors, 2019