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Tanchao Zhu

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Book Open access Aug 2026

LOGIC: Learning Optimal Goals with an Integrated Critic for Generative Auto-Bidding

LOGIC transforms the exploration paradigm: instead of exploring at the action level, it employs an integrated critic to guide a generator in discovering optimal, high-value goals (RTGs), enabling robust exploration beyond the dataset's frontier while avoiding the fragility of complex multi-loss objectives.

Shi-Hao Shu, Rujie Zhong, Hao Wang et al. · 0 citations
Book Open access Aug 2026

LOGIC: Learning Optimal Goals with an Integrated Critic for Generative Auto-Bidding

Decision Transformers (DTs) have emerged as a powerful paradigm for sequential decision-making in offline learning, yet they face two intrinsic deficiencies: the challenge of specifying optimal Return-to-Go (RTG) targets and a fundamental lack of exploration beyond the offline dataset. While prior studies have attempte...

Shihao Shu, Rujie Zhong, Hao Wang et al. · 0 citations

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