{"url":"/dataset/carle","name":"CARLE","full_name":"Cellular Automata Reinforcement Learning Environment","description_markdown":"**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.","description_withheld":null,"homepage":"https://github.com/rivesunder/carle","introduced_date":"2021-07-13","introduced_date_note":null,"introduced_by":{"paper":"/paper/carle-s-game-an-open-ended-challenge-in","title":"Carle's Game: An Open-Ended Challenge in Exploratory Machine Creativity","first_author":"Q. Tyrell Davis","url":null},"license":null,"modalities":[{"name":"Environment","url":"/datasets/modality/environment"}],"tasks":[],"languages":[],"variants":["CARLE"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}