Pathmind provides an interface to implement and train reinforcement learning policies, using Python-based simulations, in the cloud.
This may be useful for people who:
Prefer to simulate real-life scenarios using Python versus a simulation IDE such as AnyLogic.
Want to leverage the cloud to train reinforcement learning policies in parallel but prefer not to implement and maintain their own cloud infrastructure.
Please note that our Python API is currently in beta.
To get started, you will need two things:
Simulation built in Python that can benefit from reinforcement learning.
A Pathmind account. You may register here.
Finally, click below to view examples and train your first reinforcement policy in Pathmind.