Rationale-Guided Policy Optimization Mitigates Reward Sparsity in Reasoning
October 4, 2026
Rationale-Guided Policy Optimization (RGPO) uses adaptive rationale scaffolding to provide training signals for difficult reasoning tasks. This framework prevents optimization stagnation by leveraging ground-truth rationale information to guide the agent through sparse reward environments.
HOW THIS AFFECTS YOU
●
researcherThis presents a new method for using rationale-based scaffolding to improve on-policy RL effectiveness.