osim-rl.stanford.eduReinforcement learning with musculoskeletal models
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| Getting Help - OpenSim RL osim-rl https://osim-rl.stanford.edu/help |
| About Learning to run - OpenSim RL osim-rl https://osim-rl.stanford.edu/docs/nips2017 |
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| Quickstart - OpenSim RL osim-rl https://osim-rl.stanford.edu/docs/quickstart |
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| Training your first model - OpenSim RL osim-rl https://osim-rl.stanford.edu/docs/training |
| About AI for prosthetics - OpenSim RL osim-rl https://osim-rl.stanford.edu/docs/nips2018 |
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OpenSim RL osim-rl Home Docs News Help Team v1.5 GitHub Home Docs News Help GitHub in OpenSim NeurIPS 2019: Learn to Move - Walk Around Design artificial intelligent controllers for the human body to accomplish diverse locomotion tasks. Participate in the NeurIPS 2019 challenge to win prizes and fame. Learn more about the challenge → OpenSim RL Use our musculoskeletal reinforcement learning environment for other projects in computer science, neuroscience, biomechanics, etc. Learn more about osim-rl → Get up and running in seconds . Quick-start Instructions ~ $ conda create -n opensim-rl -c kidzik opensim python=3.6.1 ~ $ source activate opensim-rl ~(opensim-rl) $ conda install -c conda-forge lapack git ~(opensim-rl) $ pip install git+https://github.com/stanfordnmbl/osim-rl.git ~(opensim-rl) $ python from osim.env import ProstheticsEnv env = ProstheticsEnv(visualize=True) observation = env.reset() for i in range(200): o, r, d, i = env.step(env.action_space.sample()) NIPS 2017: Learning to Run challenge In 2017 we used osim-rl in a challenge at NIPS were participants were asked to build controllers for running. They did great :) The contents of this website are © 2020 under the terms of the MIT License . Hosted by Github Fantastic design borrowed from...
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