A Pinch of SFT, A Dash of RL: When Reinforcement Learning Helps Long-Horizon Advertising Agents
This work studies how to balance SFT and RL under production-mirroring beta APIs, and observes that, in a controlled experiment, checkpoint trajectories retrospectively separated into three regimes: Imitation, where SFT captured reliable teacher behavior; Lift, where both stages helped; and Discovery, where useful rewa...
Aakash Kolekar, Sahika Genc, Bunyamin Sisman et al.
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