Ji, Tianying

8 publications

ICLR 2025 Scrutinize What We Ignore: Reining in Task Representation Shift of Context-Based Offline Meta Reinforcement Learning Hai Zhang, Boyuan Zheng, Tianying Ji, JinHang Liu, Anqi Guo, Junqiao Zhao, Lanqing Li

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

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

ICML 2024 OMPO: A Unified Framework for RL Under Policy and Dynamics Shifts Yu Luo, Tianying Ji, Fuchun Sun, Jianwei Zhang, Huazhe Xu, Xianyuan Zhan

ICML 2024 Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL Yu Luo, Tianying Ji, Fuchun Sun, Jianwei Zhang, Huazhe Xu, Xianyuan Zhan

ICMLW 2024 RoboGolf: Mastering Real-World Minigolf with a Reflective Multi-Modality Vision-Language Model Hantao Zhou, Tianying Ji, Lukas Sommerhalder, Michael Görner, Norman Hendrich, Fuchun Sun, Jianwei Dr. Zhang, Huazhe Xu

ICML 2024 Seizing Serendipity: Exploiting the Value of past Success in Off-Policy Actor-Critic Tianying Ji, Yu Luo, Fuchun Sun, Xianyuan Zhan, Jianwei Zhang, Huazhe Xu

NeurIPS 2022 When to Update Your Model: Constrained Model-Based Reinforcement Learning Tianying Ji, Yu Luo, Fuchun Sun, Mingxuan Jing, Fengxiang He, Wenbing Huang