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RL environments and benchmarks for computer use agents

Operating real software through its interface: clicking, typing and navigating desktops, browsers and apps the way a person at a keyboard would.

RL environments
21
AI benchmarks
95
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16 categories

Snapshot 2026-11-05. How categories are built · Where the data comes from

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In short

What are RL environments for computer use agents?
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. For computer use agents, that means operating real software through its interface: clicking, typing and navigating desktops, browsers and apps the way a person at a keyboard would.
Who builds RL environments for computer use agents?
Scale AI, Snorkel AI, AfterQuery, Surge AI, Fleet AI and Deeptune, among 19 confirmed below.
What are the main computer use benchmarks?
Humanity's Last Exam, Terminal-Bench, OSWorld 2.0, Agents' Last Exam, MCP Atlas and OSWorld2.0, among 59 confirmed below.

RL environments 21

  1. Scale AI
  2. Snorkel AI
  3. AfterQuery
  4. Surge AI
  5. Fleet AI
  6. Deeptune
  7. Halluminate
  8. Andon Labs
  9. Collinear
  10. Chakra Labs
  11. Huzzle Labs
  12. HUD
  13. Refresh
  14. BenchFlow
  15. Cua
  16. Markov
  17. Plato
  18. Vetto AI
  19. Habitat Inc
2 not yet confirmedListed in the catalog; no line from its own site or paper confirms it yet.
  1. Originator
  2. Matrices

AI benchmarks 95

  1. Humanity's Last ExamCenter for AI Safety
  2. Terminal-Bench
  3. OSWorld 2.0XLANG Lab, University of Hong Kong
  4. Agents' Last Exam
  5. MCP Atlas
  6. OSWorld2.0XLANG Lab, University of Hong Kong
  7. Senior SWE-benchSnorkel AI
  8. FinanceQA
  9. IDE-Bench
  10. Continual Learning Bench
  11. Remote Labor Index
  12. HiL-BenchScale AI
  13. SpreadsheetBench 2
  14. SkillsBenchBenchFlow
  15. UI-Bench
  16. App-Bench
  17. Market-Bench
  18. YC-BenchCollinear
  19. VERITAS
  20. Vending-Bench
  21. Cua-BenchCua
  22. Web Bench (2025-05-30; ~5
  23. AutoCAD-Bench
  24. SWE-Bench Pro v1 (2025-09-19) and v2
  25. MAGIChakra Labs
  26. DrugDiscoveryBench with Phylo
  27. READY or Not enterprise agent deployment benchmarksScale AI
  28. RSI Bench
  29. PRBench
  30. Westworld v1 simulated-web environments (2025-11-23):
  31. BrowserBench (2025-11-22):
  32. Legora BARAfterQuery
  33. CWE-bench v1
  34. TraitBasis / Impatient Users Confuse AI AgentsCollinear
  35. Vending-Bench 2 / Vending-Bench ArenaAndon Labs
  36. Blueprint-Bench 2, 2026-05Andon Labs
  37. Drone-Bench, with Anthropic Project Pilot, 2026-07Andon Labs
  38. ClawsBenchBenchFlow
  39. Robo UseBenchFlow
  40. FrontierPhysics v0.1BenchFlow
  41. Benchmarking Agents in Insurance Underwriting Environments
  42. BigLaw Bench: ResearchHarvey AI
  43. Westworld Finance Diligence Bench (2026-08-11):
  44. DealTrace Bench (2026-05/06):
  45. VADER
  46. Blueprint-Bench
  47. Butter-Bench
  48. LibraryDesignBench
  49. SlopCodeBench
  50. Assemble Bench (robotics
  51. SheetBench-50 (with Sepal AI) - 2025-10-01
  52. Cua-Bench EDA Leaderboard
  53. Gemini 3.5 Flash computer-use evaluation on Cua-BenchCua
  54. Windows Agent ArenaMicrosoft
  55. BlenderBench
  56. InsureBench: insurance underwriting and claims benchmark
  57. SWE Atlas: Codebase QnA, Test Writing, Refactoring
  58. Andon FM
  59. TUA-Bench
36 not yet confirmedListed in the catalog; no line from its own site or paper confirms it yet.
  1. CUA data
  2. OSWorld-Verified
  3. OSWorld Windows tasks on Daytona Windows sandboxes
  4. Agent-environment papers
  5. The Valley of Code Reasoning
  6. Cats Confuse Reasoning LLM
  7. Self-rationalization improves LLM as a fine-grained judge
  8. AI bosses studies, parts 1 and 2
  9. env0 SFT study on SkillsBench/ClawsBench
  10. GenesisBench
  11. FinQA / SnorkelFinance environment and benchmark
  12. RIFT / Hitchhiker's Guide to Rubric Quality
  13. Shrinking the Generation-Verification Gap with Weak Verifiers
  14. Snorkel: Rapid Training Data Creation with Weak Supervision
  15. Simulated-to-Real Transfer for Web Agents (2026-07-27):
  16. Project Vend
  17. Cheating in Drone-Bench
  18. LiveWeb samples (with Browserbase) - 2026-09-22/28
  19. Production-debugging RL environment (hud-ops-diagnostics) - 2026-01-20
  20. Dojo-Bench-Mini public task set on Hugging Face
  21. Pango crowdsourced computer-use trajectory datasets on Hugging Face
  22. GLADOS-1
  23. Gauntlet 4K RLVR dataset, access by request
  24. OpenEnv Visual Memory and Spreadsheet environments on Hugging Face
  25. Printing Machines (2026-01-28)
  26. No peer-reviewed paper authored by Fleet found. Harbor
  27. Editorial and infrastructure posts on chakra.dev/blog
  28. HuzzleWorld computer-use models
  29. Searching Over Sandbox States for Coding Agents
  30. CaptchaMind
  31. Scale Labs (launched 2026-03-09
  32. PostTrain Arena
  33. Learning from Less: RLVR in Low Data Regimes
  34. computer-1 computer-use harness in Harbor
  35. Rubric-based RL papers
  36. Kubernetes Is the Wrong Primitive for Diverse Workloads

Data 15

  1. Chakra Labsbased here
  2. Cuabased here
  3. Markovbased here
  4. AfterQueryalso covers it
  5. Aviroalso covers it
  6. Collinearalso covers it
  7. Contra Labsalso covers it
  8. HUDalso covers it
  9. Huzzle Labsalso covers it
  10. Patronus AIalso covers it
  11. Refreshalso covers it
  12. Snorkel AIalso covers it
  13. Surge AIalso covers it
  14. Thetaalso covers it
  15. Tolokaalso covers it

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