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End-to-end: collect preferences → train reward model → optimize policy
End-to-end: collect preferences → train reward model → optimize policy
The full pipeline, not just the algorithm
RL Training Infrastructure > RL Algorithm Implementation
--- name: "Implement Rlhf Pipeline" version: "1.0.0" description: "End-to-end: collect preferences → train reward model → optimize policy" tags: - rl-skills-universe - "rl-training-infrastructure" - "rl-algorithm-implementation" trigger: "implement-rlhf-pipeline" --- # Implement Rlhf Pipeline End-to-end: collect preferences → train reward model → optimize policy ## Why It Matters The full pipeline, not just the algorithm ## Domain **RL Training Infrastructure** > RL Algorithm Implementation