Tian-Shuo Liu

According to our database, Tian-Shuo Liu authored at least 7 papers between 2024 and 2025.

Collaborative distances:

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

2025

A Survey on Large Language Models for Mathematical Reasoning.

Peng-Yuan Wang, Tian-Shuo Liu, Chenyang Wang, Yi-Di Wang, Shu Yan, Cheng-Xing Jia, Xu-Hui Liu, Xin-Wei Chen, Jia-Cheng Xu, Ziniu Li, Yang Yu

CoRR, June, 2025

InCLET: Large Language Model In-context Learning can Improve Embodied Instruction-following.

Peng-Yuan Wang, Jing-Cheng Pang, Chenyang Wang, Xu-Hui Liu, Tian-Shuo Liu, Si-Hang Yang, Hong Qian, Yang Yu

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement Learning.

Tian-Shuo Liu, Xu-Hui Liu, Ruifeng Chen, Lixuan Jin, Pengyuan Wang, Zhilong Zhang, Yang Yu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning.

Xu-Hui Liu, Tian-Shuo Liu, Shengyi Jiang, Ruifeng Chen, Zhilong Zhang, Xinwei Chen, Yang Yu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Offline Transition Modeling via Contrastive Energy Learning.

Ruifeng Chen, Chengxing Jia, Zefang Huang, Tian-Shuo Liu, Xu-Hui Liu, Yang Yu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation.

Zhilong Zhang, Yihao Sun, Junyin Ye, Tian-Shuo Liu, Jiaji Zhang, Yang Yu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Foresight Distribution Adjustment for Off-policy Reinforcement Learning.

Ruifeng Chen, Xu-Hui Liu, Tian-Shuo Liu, Shengyi Jiang, Feng Xu, Yang Yu

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024