Environment as Policy: Learning to Race in Unseen Tracks
环境作为策略:在未见过的赛道上学习赛车
机构 * Robotics and Perception Group, Department of Informatics, University of Zurich(机器人感知组,信息学院,苏黎世大学) ; Department of Neuroinformatics, University of Zurich and ETH Zurich(神经信息学院,苏黎世大学和苏黎世联邦理工学院)
AI总结 本文提出了一种自适应环境塑造框架,使无人机能够在未见过的赛道上高效学习赛车,通过动态调整训练环境提升泛化能力。
Comments Accepted at IEEE International Conference on Robotics and Automation (ICRA), 2025