arXiv 2610.22174 · cs.CL · 2026-10-15
Mosaic: Multi-Session Agentic Reinforcement Learning
Yilong Xu, Minrui Xu, Xinyu Zhou, Xiang Long, Haochen Tan, Zhijiang Guo
LARK Lab@HKUST (GZ)
In latest · #207 Added on 2026-10-21
One-line takeaway
Mosaic generalises agentic RL to multi-session trajectories, matching inference-time context compaction and sub-agent forking.
Mosaic 把智能体强化学习扩展到多会话轨迹，匹配上下文压缩和子智能体分叉等真实推理方式。
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Topics & disciplines
More on Reinforcement learning
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- LoGRA: Scaling LLM Reinforcement Learning with Low-Rank Gradient Sketches ▲152
- Sharpening Tax in Post-Training ▲111
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About this data
Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.
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