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Jon Scholz
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Few-Shot Keypoint Detection as Task Adaptation via Latent Embeddings


Dec 13, 2021
Mel Vecerik, Jackie Kay, Raia Hadsell, Lourdes Agapito, Jon Scholz

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* Supplementary material available at: https://sites.google.com/view/2021-tack 
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Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation


Dec 02, 2021
Todor Davchev, Oleg Sushkov, Jean-Baptiste Regli, Stefan Schaal, Yusuf Aytar, Markus Wulfmeier, Jon Scholz

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Offline Meta-Reinforcement Learning for Industrial Insertion


Oct 12, 2021
Tony Z. Zhao, Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, Nicolas Heess, Jon Scholz, Stefan Schaal, Sergey Levine

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Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study


Mar 23, 2021
Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, Wenzhao Lian, Chang Su, Mel Vecerik, Ning Ye, Stefan Schaal, Jon Scholz

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A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning


Oct 08, 2018
Mel Vecerik, Oleg Sushkov, David Barker, Thomas Rothörl, Todd Hester, Jon Scholz

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