help deploy my custom open ai gym environment

Hello! I have created a custom reinforcement learning (RL) environment using open ai's gym. I would like to transition this project from something that is readable by myself only, to a wider audience. The environment puts the agent in control of an F-16 aircraft. The task is to maneuver through "Tunnel" without hitting the walls. With some minor debugging and package install, the code should run. Here's what I'd like help with: 1. Simplification. I made this for my research. Thus there are likely portions that could be cut if it's a general environment. Also open to reorganization of the environment if there's a better way to accomplish. 2. "Branding." My plan is to make RL with high performance aircraft as accessible as Atari, Mujoco, etc. Typically vendors hold simulation efforts closed source. Not looking to make a marketing campaign necessarily, but would like your thoughts on how to best reach the audience, aviation enthusiasts. 3. CI/CD. Hoping to publish this on gym as well as push to github in a docker container. Could use guidance on that process and a plan for CI/CD moving forward. The state vector can be any or all of the available non-linear dynamics associated with the F-16 as well as a distance measurement to the nearest wall created by a sensor. Action space is a 4 vector of throttle, sidestick, pull and rudder. Reward function is how far down the tunnel it goes. Happy to hop on a call and walk through the code. Let me know your approach to this problem, thanks!