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title
Jump-Start RL
description
Project page for Jump-Start Reinforcement Learning
image
site name
author
updated
2026-03-04 02:37:42
raw text
Jump-Start RL Jump-Start Reinforcement Learning ICML 2023 Ikechukwu Uchendu Ted Xiao Yao Lu Banghua Zhu Mengyuan Yan Joséphine Simon Matthew Bennice Chuyuan Fu Cong Ma Jiantao Jiao Sergey Levine Karol Hausman Robotics at Google Everyday Robots Paper Blogpost Abstract Reinforcement learning (RL) provides a theoretical framework for continuously improving an agent's behavior via trial and error. However, efficiently learning policies from scratch can be very difficult, particularly for tasks with exploration challenges. In such settings, it might be desirable to initial...
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