Spatial Assembly: Generative Architecture With Reinforcement Learning, Self Play and Tree Search

no code implementations • 19 Jan 2021 • Panagiotis Tigas, Tyson Hosmer

With this work, we investigate the use of Reinforcement Learning (RL) for the generation of spatial assemblies, by combining ideas from Procedural Generation algorithms (Wave Function Collapse algorithm (WFC)) and RL for Game Solving.

reinforcement-learning Reinforcement Learning (RL)