Sarah Bechtle

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研究焦点

主要成就

代表论文

1. 1
   Curious iLQR: Resolving Uncertainty in Model-based RL

   16 次引用 · 2019
2. 2
   On the sense of agency and of object permanence in robots

   11 次引用 · 2016
3. 3
   Model-Based Inverse Reinforcement Learning from Visual Demonstrations

   8 次引用 · 2020
4. 4
   Multimodal Learning of Keypoint Predictive Models for Visual Object Manipulation

   6 次引用 · 2023
5. 5
   Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots

   2 次引用 · 2024
6. 6
   First steps towards the development of the sense of object permanence in robots

   2 次引用 · 2015
7. 7
   Learning Extended Body Schemas from Visual Keypoints for Object Manipulation.

   2 次引用 · 2020
8. 8
   Learning Time-Invariant Reward Functions through Model-Based Inverse\n Reinforcement Learning

   2 次引用 · 2021
9. 9
   Offline Actor-Critic Reinforcement Learning Scales to Large Models

   2 次引用 · 2024

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