Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments

Preprint English OPEN
Kidziński, Łukasz; Mohanty, Sharada Prasanna; Ong, Carmichael; Huang, Zhewei; Zhou, Shuchang; Pechenko, Anton; Stelmaszczyk, Adam; Jarosik, Piotr; Pavlov, Mikhail; Kolesnikov, Sergey; Plis, Sergey; Chen, Zhibo; Zhang, Zhizheng; Chen, Jiale; Shi, Jun; Zheng, Zhuobin; Yuan, Chun; Lin, Zhihui; Michalewski, Henryk; Miłoś, Piotr; Osiński, Błażej; Melnik, Andrew; Schilling, Malte; Ritter, Helge; Carroll, Sean; Hicks, Jennifer; Levine, Sergey; Salathé, Marcel; Delp, Scott;
(2018)
  • Subject: Statistics - Machine Learning | Computer Science - Artificial Intelligence | Computer Science - Learning

In the NIPS 2017 Learning to Run challenge, participants were tasked with building a controller for a musculoskeletal model to make it run as fast as possible through an obstacle course. Top participants were invited to describe their algorithms. In this work, we presen... View more
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