Web Agent Agentic Reinforcement Learning Decision Model Under Multi-Cost and Failure Risk

arXiv 2610.23857v1•1319d5a3d667642b54f31810e9db6cee264caf73a9201e9e586268cefe9dfc59

Paper metadata

arXiv ID
2610.23857
Version
v1
Category
cs.AI, cs.LG
Authors
Qianli Ma, Limengxi Yue, Shuyang Xu, Yanpei Shi, Hongrui Liu
Publication date
2026-10-20T04:00:00Z
Source identifier
2610.23857v1
Public record ID
record:sha256:1319d5a3d667642b54f31810e9db6cee264caf73a9201e9e586268cefe9dfc59

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Source ID
arxiv_research
Record identifier
1319d5a3d667642b54f31810e9db6cee264caf73a9201e9e586268cefe9dfc59
Record type
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