Salimans et al evolved weights in convolutional neural nets -- the same structure of network that works with deep reinforcement learning -- to play Atari games

Salimans et al evolved weights in convolutional neural nets -- the same structure of network that works with deep reinforcement learning -- to play Atari games from pixels. https://blog.openai.com/evolution-strategies/ https://blog.openai.com/evolution-strategies/ So you can make it work with generic models. Although as you say, many of the big successes like the Backgammon players and Kosa's work on electronic circuits used domain-specific models.