AI agents improve task success by exploring multiple trajectories, but for computer-use agents each trajectory modifies external environment state. Branching from an intermediate point is correct only when restoration is observation-equivalent - future actions produce the same observations - and practical only when cre...
Jia-Kai Xu, Tian-Le Zhou, Georgios Liargkovas et al.· 0 citations
Modern web applications are typically implemented by many independent microservices. Seeing into such a distributed system and predicting how component changes propagate across the system is essential for informed decision-making. Unfortunately, existing tools provide only partial support for such analysis in microserv...
Meghna Pancholi, Lee Baugh, Olaf Schnapauff et al.· Conference on Applications,...· 0 citations
Online OS tuning can improve long-running services, but existing tuners are not well suited for live hosts. They treat scheduler, power, memory, and I/O controls as black-box variables and optimize a scalar reward. This approach ignores cross-knob policy structure, breaks down when application metrics are unavailable,...
Georgios Liargkovas, M. Joshi, Hubertus Franke et al.· Proceedings of the ACM SIGOP...· 0 citations
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