AI RESEARCH
R2PS: Worst-Case Robust Real-Time Pursuit Strategies under Partial Observability
arXiv CS.LG
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ArXi:2511.17367v2 Announce Type: replace Computing worst-case robust strategies in pursuit-evasion games (PEGs) is time-consuming, especially when real-world factors like partial observability are considered. While important for general security purposes, real-time applicable pursuit strategies for graph-based PEGs are currently missing when the pursuers only have imperfect information about the evader's position.