Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search

IF 20.8 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

IEEE Transactions on Pattern Analysis and Machine Intelligence Pub Date : 2024-09-26 DOI:10.1109/tpami.2024.3469053

Wenqing Zheng, SP Sharan, Zhiwen Fan, Kevin Wang, Yihan Xi, Zhangyang Wang

引用次数: 0

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符号视觉强化学习：具有对象级抽象和可变表达式搜索的可扩展框架

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Pattern Analysis and Machine Intelligence 工程技术-工程：电子与电气

CiteScore

28.40

自引率

3.00%

发文量

885

审稿时长

8.5 months

期刊介绍： The IEEE Transactions on Pattern Analysis and Machine Intelligence publishes articles on all traditional areas of computer vision and image understanding, all traditional areas of pattern analysis and recognition, and selected areas of machine intelligence, with a particular emphasis on machine learning for pattern analysis. Areas such as techniques for visual search, document and handwriting analysis, medical image analysis, video and image sequence analysis, content-based retrieval of image and video, face and gesture recognition and relevant specialized hardware and/or software architectures are also covered.