TRIAGE: Role-Typed Credit Assignment for Agentic Reinforcement Learning
Evolving story · 1 updatesTRIAGE: Role-Typed Credit AssignmentTimeline →Researchers propose TRIAGE, a role-typed credit assignment framework for agentic reinforcement learning, to improve outcome credit assignment. TRIAGE adds a semantic role axis to outcome credit.
Agentic reinforcement learning requires assigning credit to environment-facing actions such as searches, clicks, edits, navigation commands, and object interactions. Standard GRPO uses the final verifier outcome as a uniform advantage over all action tokens. This outcome signal is useful but structurally incomplete: it punishes useful exploration in failed rollouts and reinforces redundant or regressive actions in successful rollouts. We propose TRIAGE, a role-typed credit assignment framework that adds a semantic role axis to outcome credit. A structured judge classifies each segment as decis
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