How Data Scales in Agentic Reinforcement Learning: Laws and Synthesis Strategies
arXiv 2610.23946v1•b88e4166482d68a5d1a0e4b9fc0e7f4a451bfb328a8f35ee4e1726895ec21658
Paper metadata
- arXiv ID
- 2610.23946
- Version
- v1
- Category
- cs.CL, cs.LG
- Authors
- Bowei He, Yankai Chen, Xiaokun Zhang, Changjiang Han, Ye Yuan, Chong Li, Xue Liu
- Publication date
- 2026-10-20T04:00:00Z
- Source identifier
- 2610.23946v1
- Public record ID
- record:sha256:b88e4166482d68a5d1a0e4b9fc0e7f4a451bfb328a8f35ee4e1726895ec21658
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Evidence and limitations
- Source ID
- arxiv_research
- Record identifier
- b88e4166482d68a5d1a0e4b9fc0e7f4a451bfb328a8f35ee4e1726895ec21658
- Record type
- Source metadata
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