rl-mpc-locomotion
Deep RL for MPC control of Quadruped Robot Locomotion
Simulate and train a robot to walk using deep learning and model predictive control techniques.
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Free · no card · unsubscribe anytimeDeep RL for MPC control of Quadruped Robot Locomotion
rl-mpc-locomotion has 1k stars on GitHub. It has been forked 92 times. rl-mpc-locomotion is written mainly in Python. It has been in active development since 2021. rl-mpc-locomotion is available under the MIT license. Its main topics are isaac-gym, mpc, quadruped, reinforcement-learning.
What is rl-mpc-locomotion?
Deep RL for MPC control of Quadruped Robot Locomotion
Is rl-mpc-locomotion open source?
rl-mpc-locomotion is an open-source project. It is released under the MIT license.
Is rl-mpc-locomotion free?
Yes. rl-mpc-locomotion is free and open source — you can use, modify and self-host it.
What license does rl-mpc-locomotion use?
rl-mpc-locomotion is available under the MIT license.
What language is rl-mpc-locomotion written in?
rl-mpc-locomotion is written mainly in Python.
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