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AutoGym: Blueprint-First Generation of Verifiable Agent Gyms

Type
paper
Venue
arXiv
Year
2026
Source
arxiv
Access
public
Language
en
Added
2026-09-29
Verified
2026-09-29

Summary

A framework that generates full agent environments — tasks, executable environments, and verifiers — from a minimal domain seed or from example trajectories, without hand-building each gym.

Keywords

agent environments · verifiable tasks · curriculum learning · synthetic tasks

Topics

agent environments, verifiable tasks, curriculum learning, synthetic tasks

Research notes

  • Discovery: Shared in #random-papers as an arXiv link.
  • Method: Blueprint-first generation: a compact domain blueprint is expanded into tasks, executable environments, and verifiers; explicit difficulty parameters plus performance-informed active curriculum synthesis control the training distribution.
  • Detail from arXiv abstract only; code/dataset links not captured.