Can Euclidean Symmetry Help in Reinforcement Learning and Planning?

Linfeng Zhao, Owen Howell, Jung Yeon Park, Xupeng Zhu, Robin Walters, Lawson L.S. Wong
May 2023
arXiv

Abstract

We study whether Euclidean symmetry can help in reinforcement learning and planning, which models the geometric transformations between reference frames of robots.

Type
Preprint
Publication
In TAGML Workshop @ ICML 2023
Planning Reinforcement Learning Model-based Reinforcement Learning Symmetry Equivariance
Linfeng Zhao
Linfeng Zhao
CS Ph.D. Student

I am a CS Ph.D. student at Khoury College of Computer Sciences of Northeastern University, advised by Prof. Lawson L.S. Wong. My research interests include reinforcement learning, artificial intelligence, and robotics.

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