From Outcomes to Steps: Reliable Success-Aware Critic Learning for Long-Horizon Language Agents

Reinforcement learning for long-horizon language agents requires identifying whether intermediate actions make eventual task success more or less likely when supervision is available only at trajectory level. The main difficulty is that a critic with aggregate return-prediction accuracy may still fa