Category

Education: RL environments and AI benchmarks

AI benchmarks
22
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Snapshot 2026-10-11. How categories are built · Where the data comes from

In short

What are RL environments for education?
A simulated workplace where an AI agent practises a task (a code repository, a browser, business software) and an automatic grader scores each attempt. Labs train on thousands of these attempts. Bought to improve models.

Only benchmarks use the Education tag: the RL environment directories file their vendors under other categories. Browse all RL environments.

AI benchmarks 22

None confirmed yet.

22 not yet confirmedListed in the catalog; no line from its own site or paper confirms it yet.
  1. SAGE
  2. TutorBench
  3. K-12EduBench
  4. GeoDial
  5. Confirming Correct
  6. E2V-Bench
  7. K12-Bench
  8. TeachObs
  9. EduBench
  10. EduGuardBench
  11. MathTutorBench
  12. EduResearchBench
  13. MalruleLib
  14. OpenLearnLM Benchmark
  15. Are Agents Ready to Teach? A Multi-Stage Benchmark for Real-World Teaching Workflows
  16. ChildEval
  17. GCSE Double-Marked Benchmark
  18. Human-Grounded Multimodal Benchmark with 900K-Scale Aggregated Student Response Distributions from Japan's National Assessment of Academic Ability
  19. EDU-CIRCUIT-HW
  20. FoundationalASSIST
  21. Are Video Models Zero-Shot Learners and Reasoners in Education? EduVideoBench
  22. KGCE

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