From my viewpoint, as both a researcher and someone who has built frameworks around environments/games:
- Each step within the game has to be extremely fast. I.e the game should be able to be run as fast as the machine allows while keeping physics etc. consistent.
- Runnable via library import such that there is no drawing to the screen.
- Should be easy to reset the environment to an initial state.
- RNG state should be seedable.
- I highly recommend supporting an identical interface found in OpenAI's gym. Check their docs out. Even better would be to have your game importable as an environment in gym.
- Configurable screen resolution would be great (eg. output 120x100)
- The environment is "hackable" eg. the maps or levels can be modified or loaded say via some ascii map.
- Should support multiple copies of the game running at once.
- A nice to have would be if the current environment state could be exported and loaded later.
- Expose some information/signals such that a reward signal can be created. Or better yet you define one as the game creator.
- Each step within the game has to be extremely fast. I.e the game should be able to be run as fast as the machine allows while keeping physics etc. consistent.
- Runnable via library import such that there is no drawing to the screen.
- Should be easy to reset the environment to an initial state.
- RNG state should be seedable.
- I highly recommend supporting an identical interface found in OpenAI's gym. Check their docs out. Even better would be to have your game importable as an environment in gym.
- Configurable screen resolution would be great (eg. output 120x100)
- The environment is "hackable" eg. the maps or levels can be modified or loaded say via some ascii map.
- Should support multiple copies of the game running at once.
- A nice to have would be if the current environment state could be exported and loaded later.
- Expose some information/signals such that a reward signal can be created. Or better yet you define one as the game creator.