diff --git a/README.md b/README.md index cab1930..6cdb0c3 100644 --- a/README.md +++ b/README.md @@ -1,20 +1,10 @@ # End-to-end Reinforcement Learning for Torque Based Variable Height Hopping -**Raghav Soni\* [1], Daniel Harnack\* [2], Hannah Isermann [2], Sotaro Fushimi [3], Shivesh Kumar [2], Frank Kirchner [2]** +**Raghav Soni [1], Daniel Harnack [2], Hannah Isermann [2], Sotaro Fushimi [3], Shivesh Kumar [2], Frank Kirchner [2]** [1]: [Department of Electronics Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi, India.](https://iitbhu.ac.in/dept/ece)\ [2]: [DFKI GmbH Robotics Innovation Center, Bremen, Germany.](https://robotik.dfki-bremen.de)\ [3]: [Department of Mechanical and Systems Engineering, Kyoto University, Kyoto, Japan.](https://www.kyoto-u.ac.jp/en) -\* Both authors contributed equally. - -
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## Abstract Legged locomotion is arguably the most suited and @@ -41,18 +31,4 @@ parameter tuning. - -___ - -
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