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  1. Home
  2. /Repositories
  3. /hud-evals/hud-python
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repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 3d ago

hud-evals/hud-python

RL environments + evals for AI agents. Define once, train anything.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 46%A field guide to AI agents in 2026 →
  • PossiblePossibly related (embedding) · 46%Best practices for multi-turn reinforcement learning in Amazon SageMaker AI →
  • PossiblePossibly related (embedding) · 46%AgentCore-8B →
  • PossiblePossibly related (embedding) · 45%Agentic AI for Robot Teams →
  • PossiblePossibly related (embedding) · 47%Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning →
  • PossiblePossibly related (embedding) · 49%Building AX evals that actually work →

Related to

articleA field guide to AI agents in 2026modelAgentCore-8B

Covers

newsBest practices for multi-turn reinforcement learning in Amazon SageMaker AInewsAgentic AI for Robot Teams

Implements (incoming)

paperMulti-Modal, Multi-Environment Machine Teaching for Robust Reward Learning

Covers (incoming)

newsBuilding AX evals that actually work

Related across the graph

paperMulti-Modal, Multi-Environment Machine Teaching for Robust Reward LearningnewsBest practices for multi-turn reinforcement learning in Amazon SageMaker AInewsBuilding AX evals that actually worknewsAgentic AI for Robot TeamsarticleA field guide to AI agents in 2026modelAgentCore-8B
Knowledge path·PMulti-Modal, Multi-Environment Machine Teaching for Robust Reward Learning→NBest practices for multi-turn reinforcement learning in Amazon SageMaker AI→NBuilding AX evals that actually work→Rhud-evals/hud-python

Topics

agentsevalsgrpollmqwenqwen3reinforcement-learningreinforcement-learning-environmentsrl

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Graph trust82Primary
Graph score291