You will find many agents that solved (e.g., finished, reached high score) atari games, but there is still so much more work to do in the field. I wrote my Master's thesis on how to learn from few interactions with the game, so that if the algorithm is ported to actual robots they don't need to walk and fall for centuries before learning behaviors. I think there is more research to do on higher levels of generalization: when you know how to play a few video games, you quickly understand how to play a new one intuitively, and I haven't seen thorough research on that.

I can tell you right now without any research that video game designers reuse interface patterns and game mechanics that were already known when making new games. Those patterns and mechanics are also often analogies for real life allowing humans to intuitively play the games. If people can't play your game intuitively, they might say it's a bad game.