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.· Proceedings of the 32nd ACM...· 0 citations
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.· Proceedings of the 32nd ACM...· 0 citations
LlamaExtract Agentic Plus ranks first on all three metrics, with accuracy comparable to coding agents at a fraction of the cost, and is the first to score value accuracy, record completeness at scale, grounding, and measured cost together.
Boyang Zhang, Adrian Lyjak, Elizabeth Stewart et al.· arXiv.org· 1 citation
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