CARLE (Cellular Automata Reinforcement Learning Environment)

Introduced by Davis in Carle's Game: An Open-Ended Challenge in Exploratory Machine Creativity

CARLE is a life-like cellular automata simulator and reinforcement learning environment. CARLE is flexible, capable of simulating any of the 262,144 different rules defining Life-like cellular automaton universes. CARLE is also fast and can simulate automata universes at a rate of tens of thousands of steps per second through a combination of vectorization and GPU acceleration. Finally, CARLE is simple. Compared to high-fidelity physics simulators and video games designed for human players, CARLE's two-dimensional grid world offers a discrete, deterministic, and atomic universal playground, despite its complexity.


Paper Code Results Date Stars

Dataset Loaders

No data loaders found. You can submit your data loader here.



  • Unknown