1 citations · 1 across the 3 of their papers we have counts for
Showing cs.AIShow all
2 papers · 1 filter
cs.AI2023
Controllable Path of Destruction
Matthew Siper, Sam Earle, Zehua Jiang +2
Path of Destruction (PoD) is a self-supervised method for learning iterative generators. The core idea is to produce a training set by destroying a set of artifacts, and for each d…
cs.AI2022
Learning Controllable 3D Level Generators
Zehua Jiang, Sam Earle, Michael Cerny Green +1
Procedural Content Generation via Reinforcement Learning (PCGRL) foregoes the need for large human-authored data-sets and allows agents to train explicitly on functional constraint…