ReCast: Recasting Learning Signals for Reinforcement Learning in Generative Recommendation

Peiyan Zhang, Hanmo Liu, Chengxuan Tong +3

Generic group-based RL assumes that sampled rollout groups are already usable learning signals. We show that this assumption breaks down in sparse-hit generative recommendation, wh…