PRISE: LLM-Style Sequence Compression for Learning Temporal Action
Abstractions in Control

PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control

16 February 2024

Furong Huang

Papers citing "PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control"

5 / 5 papers shown

Title
Fast Flow-based Visuomotor Policies via Conditional Optimal Transport Couplings Andreas Sochopoulos Nikolay Malkin Nikolaos Tsagkas João Moura Michael Gienger S. Vijayakumar 37 1 0 02 May 2025
ARDuP: Active Region Video Diffusion for Universal Policies Shuaiyi Huang Mara Levy Zhenyu Jiang Anima Anandkumar Yuke Zhu Linxi Fan De-An Huang Abhinav Shrivastava VGen 40 2 0 19 Jun 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 Huazhe Xu John Langford Praveen Palanisamy Kalyan Shankar Basu Furong Huang 32 5 0 09 Feb 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 OffRL 52 12 0 11 Oct 2023
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation Ajay Mandlekar Danfei Xu J. Wong Soroush Nasiriany Chen Wang Rohun Kulkarni Li Fei-Fei Silvio Savarese Yuke Zhu Roberto Martín-Martín OffRL 147 469 0 06 Aug 2021