每天一篇論文 350/365 MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navig
MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navigation 核心;基於mvp的方法，使用在大型環境中收集的運動估計和視覺數據進行訓練。MVP方法是通過將局部運動估計與緊湊的視覺表現聯繫起來，從而有效地訓練我們的政策網絡。利用這些數據，強化學習政策可以學會以一種自我監督的方式將運
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相關文章
- 1. 每天一篇論文 296/365 Reinforcement Learning Tracking Control for Robotic Manipulator
- 2. 每天一篇論文 289/365Deep Reinforcement Learning for Robotic Pushing and Picking in Cluttered Environment
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