Category

Embodied: RL environments and AI benchmarks

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

In short

What are RL environments for embodied?
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 Embodied tag: the RL environment directories file their vendors under other categories. Browse all RL environments.

AI benchmarks 32

None confirmed yet.

32 not yet confirmedListed in the catalog; no line from its own site or paper confirms it yet.
  1. Done
  2. From Perception to Action
  3. ERGeoBench
  4. PInVerify
  5. RoboBench
  6. DriveBench
  7. ALFRED
  8. DexHoldem
  9. AirNav
  10. Beyond Binary Success
  11. Drive-P2D
  12. Ego2World
  13. LongAct
  14. MindClaw
  15. TVWorld: Foundations for Remote-Control TV Agents
  16. WorldLines
  17. Wow-wo-val
  18. Does VLA Even Know the Basics? Measuring Commonsense and World Knowledge Retention in Vision-Language-Action Models
  19. Embodied Multi-Agent Coordination by Aligning World Models Through Dialogue
  20. ESI-BENCH
  21. SpaceReject
  22. BEHAVIOR 2025 Challenge
  23. Habitat Challenge
  24. RoboCasa365
  25. CARLA Autonomous Driving Leaderboard
  26. CALVIN
  27. WM Bench
  28. EmbSpatialBench
  29. Can Segmentation Models Understand the World? Towards Proactive Affordance Reasoning via Visual Chain-of-Thought
  30. LLawCo
  31. MACE-THOR
  32. World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks

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