DMRL: Document-Mediated Reinforcement Learning for Skill Optimization in Advertising Recommendation
Two key components are introduced: Dual-Relative Policy Optimization (DRPO), a post-training policy optimization method for robust and risk-aware advantage estimation; and Long-term Reward Predictor (LRP), which estimates long-term outcomes by modeling population heterogeneity with disentangled representation learning...
Wei Zhang, Hong-Ji Li, Song Sun et al.
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