Work

PreLAR: World Model Pre-training with Learnable Action Representation

Year: 2024

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-031-73337-6_11

Authors: Lixuan Zhang, Meina Kan, Shiguang Shan, Xilin Chen

Institutions: Chinese Academy of Sciences, Institute of Computing Technology, University of Chinese Academy of Sciences, Peng Cheng Laboratory

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4403907850

FWCI: 1.176

Cites: 18

Cited by: 4

Related to: 10