On:

https://github.com/openai/gym/blob/master/gym/envs/atari/atari_env.py

There seems to be a common list for every atari environment.

But if you use something like:

print(env.env.get_action_meanings())

It lists only a subsection of these options.

Could I use the same architecture for multiple games by using the “maximum” possible actions? Would the environment accept that?