PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
Simulate and test control systems for CartPole and Quadrotor environments using physics-based dynamics.
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Free · no card · unsubscribe anytimePyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
safe-control-gym has 904 stars on GitHub. It has been forked 164 times. safe-control-gym is written mainly in Python. It has been in active development since 2021. safe-control-gym is available under the MIT license. Its main topics are cartpole, casadi, control, gym.
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
safe-control-gym is an open-source project. It is released under the MIT license.
Yes. safe-control-gym is free and open source — you can use, modify and self-host it.
safe-control-gym is available under the MIT license.
safe-control-gym is written mainly in Python.
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