Yusuf Aytar

关于

暂无简介。

研究焦点

主要成就

代表论文

1. 1
   Scaling data-driven robotics with reward sketching and batch reinforcement learning

   59 次引用 · 2020
2. 2
   Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation

   56 次引用 · 2020
3. 3
   Scaling data-driven robotics with reward sketching and batch reinforcement learning

   45 次引用 · 2019
4. 4
   RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation

   31 次引用 · 2024
5. 5
   Offline Learning from Demonstrations and Unlabeled Experience

   14 次引用 · 2020
6. 6
   A Framework for Data-Driven Robotics

   11 次引用 · 2019
7. 7
   Manipulator-Independent Representations for Visual Imitation

   10 次引用 · 2021
8. 8
   Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation

   9 次引用 · 2019
9. 9
   RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation

   9 次引用 · 2023
10. 10
    Semi-supervised reward learning for offline reinforcement learning

    7 次引用 · 2020

主要合作者