Skip to content

Solving a classical control task of stabilization of double pendulum in inverted upright position.

License

Notifications You must be signed in to change notification settings

Rushidave10/Inverted-Double-Pendulum

Repository files navigation

Inverted-Double-Pendulum

Solving a classical control task of stabilization of double pendulum in inverted upright position.

Quick Guide to Repository

  • DoubleCartpole_env.py: creates the simulation environment for the problem.
  • inverted_double_pendulum.ipynb: contains the ppo-agent along with rollout-buffer and Actor-Critic Network.
  • PPO_Trained: Contains weights and biases of trained-agent.

Training Splits

10 % Training done:

20% Training done:

50% Training done:

100% Training done:

References

Minimal PyTorch Implementation of Proximal Policy Optimization by Nikhil Barhate

About

Solving a classical control task of stabilization of double pendulum in inverted upright position.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published