偏差减少域随机化用于强化学习与政策梯度的强化学习

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Updated: Jul 11, 2025

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

5.0K

Yuankun Jiang, Chenglin Li, Wenrui Dai

    IEEE transactions on pattern analysis and machine intelligence
    |November 6, 2023
    PubMed
    概括

    域随机化 (DR) 增强了深度强化学习的概括性,但增加了训练差异. 本研究引入了一种减少差异域随机化 (VRDR) 方法,具有最佳基线,以提高机器人控制任务中的样本效率和政策性能.

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