osim-rl

osim-rl

Reinforcement learning environments with musculoskeletal models

This repository contains software required for participation in the NeurIPS 2019 Challenge: Learn to Move - Walk Around. See more details about the challenge here. See full documentation of our reinforcement learning environment here. In this document we will give very basic steps to get you set up for the challenge!

Your task is to develop a controller for a physiologically plausible 3D human model to walk or run following velocity commands with minimum effort. You are provided with a human musculoskeletal model and a physics-based simulation environment, OpenSim. There will be three tracks:

1) Best performance 2) Novel ML solution 3) Novel biomechanical solution, where all the winners of each track will be awarded.

To model physics and biomechanics we use OpenSim - a biomechanical physics environment for musculoskeletal simulations.