ABSeeker: Training Long-Horizon Search Agents via Answer-Backtracked Credit Assignment
- 类型:arxiv
- 标识:2608.05102
- 链接:https://arxiv.org/abs/2608.05102
- 主分类:agent
- 形态:method
- 被引:0
- 被引来源:Semantic Scholar
- S2被引:0
- 影响力被引:0
- TLDR:Answer-Backtracked Credit Assignment (ABC) is proposed, a fine-grained credit assignment framework for training long-horizon search agents by converting sparse trajectory-level outcomes into dense step-level supervision that rewards useful actions (even in failed trajectories) while suppressing erroneous or redundant actions.
- 副分类:engineering
- 待LLM分类:否
- 标题中文:ABSeeker:通过答案回溯信用分配训练长视野搜索 Agents
- TLDR中文:提出 Answer-Backtracked Credit Assignment(ABC),一种面向长程搜索 agent 训练的细粒度信用分配框架,将稀疏的轨迹级结果转换为稠密的步骤级监督,对有用动作(即使在失败轨迹中)给予奖励,同时抑制错误或冗余动作。
- 来源文件:
- /inbox/tom/_candidates/2026-08-06-agent-rag-longcontext-candidates.json
- [S2 enrich]