{"url":"/dataset/teachmyagent","name":"TeachMyAgent","full_name":null,"description_markdown":"TeachMyAgent (TA) is a benchmark for Automatic Curriculum Learning (ACL) algorithms leveraging procedural task generation. It includes 1) challenge-specific unit-tests using variants of a procedural Box2D bipedal walker environment, and 2) a new procedural Parkour environment combining most ACL challenges, making it ideal for global performance assessment.","description_withheld":null,"homepage":"https://sites.google.com/view/teachmyagent","introduced_date":"2021-03-17","introduced_date_note":null,"introduced_by":{"paper":"/paper/teachmyagent-a-benchmark-for-automatic","title":"TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL","first_author":"Clément Romac","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Environment","url":"/datasets/modality/environment"}],"tasks":[],"languages":[],"variants":["TeachMyAgent"],"data_loaders":[],"num_papers_in_archive":2,"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."}