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Visual Reinforcement Learning With Self-Supervised 3D Representations
Work
Year: 2023
Type: article
Abstract: A prominent approach to visual Reinforcement Learning (RL) is to learn an internal state representation using self-supervised methods, which has the potential benefit of improved sample-efficiency and... more
Source: IEEE Robotics and Automation Letters
Authors Yanjie Ze, Nicklas Hansen, Yinbo Chen, Mohit Jain, Xiaolong Wang
Institutions University of California, San Diego, Shanghai Jiao Tong University
Cites: 27
Cited by: 11
Related to: 10
FWCI: 3.519
Citation percentile (by year/subfield): 100
Topic: Robot Manipulation and Learning
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green