smearle/gym-city

The work in this repo was presented and demoed at the 2019 Experimental A.I. in Games (EXAG) workshop, an AIIDE workshop. Feel free to join the conversation surrounding this work via my Twitter, and on r/MachineLearning. The player builds places urban structures on a 2D map. In certain configurations, these structures invite population and vertical development. Reinforcement Learning agents are rewarded as a function of population or other city-wide metrics.