Turn pyCMO into an OpenAI Gym environment

[duyminh1998]

Why

As a

User of pyCMO

I want

to be able to easily train RL agents in pyCMO

So that

I can develop RL agents that can solve pyCMO scenarios

Acceptance Criteria

Given

that it is currently unclear how we can train RL agents in pyCMO

When

we convert pyCMO into an OpenAI Gym environment (or at least make an interface that will make pyCMO behave like a Gym environment

Then

we open up pyCMO to more collaboration and we can leverage a vast repository of RL agents that are compatible with Gym environments

Notes

• OpenAI Baselines is a set of high-quality implementations of reinforcement learning algorithms.
• Gymnasium is an open source Python library for developing and comparing reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments

[duyminh1998]

Good documentation for Gymnasium.

[duyminh1998]

Make your own custom environment tutorial

[duyminh1998]

Implementing Custom Wrappers