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

arXiv:2610.23857v1 Announce Type: cross Abstract: Intelligent agent interactions in real-world web environments are commonly constrained by request budgets, time delays, anti-crawling restrictions, and operational failure risks. Strategies solely optimizing ta