Directory label

Alignment: RL environments and AI benchmarks

A label other catalogs put on entries, not one of the domains on our map. On the map, each entry here sits in the domain its own site or paper leads with.

Steering model behavior toward human intent and preferences, through preference data, reward models and evaluations of safe, helpful responses.

RL environments
3
AI benchmarks
29
Shares entries with
14 categories

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

In short

What are RL environments for alignment?
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 alignment, that means steering model behavior toward human intent and preferences, through preference data, reward models and evaluations of safe, helpful responses.
Who builds RL environments for alignment?
Surge AI, dmodel and Trajectory Labs.
What are the main alignment benchmarks?
RewardBench, MOOD, CommunityBench, AuAu, Stick To Your Role! and Agent-ValueBench, among 25 confirmed below.

RL environments 3

  1. Surge AI
  2. dmodel
  3. Trajectory Labs

AI benchmarks 29

  1. RewardBench
  2. MOOD
  3. CommunityBench
  4. AuAu
  5. Stick To Your Role!Flowers, Inria
  6. Agent-ValueBench
  7. Beyond Value BenchmarksTJUNLP Lab, Tianjin University
  8. Faithfulness Metrics Don't Measure Faithfulness
  9. COMPASS
  10. How Well Do Models Follow Their Constitutions?
  11. JuICE
  12. Misaligned by Reward
  13. SNN Fairness Benchmark
  14. The Compliance Gap
  15. MUSEHong Kong Polytechnic University
  16. A Human-Centric Pipeline for Aligning Large Language Models with Chinese Medical EthicsX-LANCE
  17. Aristotelian Virtue Profiling of LLMs through Ethical Dilemmas
  18. Evaluating Reward Model Generalization via Pairwise Maximum Discrepancy Competitions
  19. Extending Beacon to Hindi
  20. How Implicit Bias Accumulates and Propagates in LLM Long-term Memory
  21. Pseudo-Deliberation in Language Models
  22. RMGAP
  23. The Wrong Kind of Right
  24. Truthful AI Advisors
  25. Uncovering Political Bias in Large Language Models using Parliamentary Voting Records
4 not yet confirmedListed in the catalog; no line from its own site or paper confirms it yet.
  1. OpenUGI
  2. A Positive Case for Faithfulness
  3. Human Evaluation
  4. DVMap

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