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Author

Zhangbin Zhu

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Book Open access Aug 2026

GRB: A Generative Reinforcement Bidding Framework for Multi-Channel Online Advertising

GRB (Generative Reinforcement Bidding) is introduced, a large-scale generative bidding framework with an Offline-to-On-Policy (O2P) training paradigm that consistently outperforms strong online and offline baselines and incorporates an adaptive constrained exploration module to mitigate reward hacking.

Hongchang Wu, Weitong Ou, Heng-Quan Guo et al. · 0 citations
Jul 2026

Beyond Action Imitation: Learning a Decision-Aware User Simulator for Online Advertising

DASH is a decision-aware user simulator that jointly generates thinking traces and predicts behavioral actions from heterogeneous cross-domain histories and tailors a rubric-based reward model that evaluates thinking traces along form, content, and logic for RL training.

Zi-Hang Chen, Jiaer Zheng, Xiangyang Xu et al. · 0 citations

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