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Agents navigating unknown graphs need a way to handle edge failures. Stochastic Reset Pathfinding (SRP) learns from these failures to find better paths. It's tested in simulation, but real-world use is still unproven.
“arXiv:2607.15440v1 Announce Type: new Abstract: We introduce Stochastic Reset Pathfinding (SRP), an episodic learning problem on a known directed graph with unknown stationary edge success probabilities. In each episode, the agent commits t…”
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ENTITY
Stochastic Reset Pathfinding, arXiv
DECISION
Automated · no editorial override
LAST OBSERVED
Aug 4, 2026