knowledge-agents-rl-synthesis

【数据与研究】Build knowledge agents that generalize across grounded reasoning tasks by combining agentic data synthesis via vector search with off-policy reinforcement learning. Use multi-task training on synthetic question-answer pairs to achieve robust cross-domain performance.

独立 GitHub 快照 · 自动分类 · 以原作者文档为准