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ORGANIZER;CN=Michael McDonald:mailto:michael.mcdonald@fsu.edu
DESCRIPTION;LANGUAGE=en-US:"Multi-Agent Reinforcement Learning-Based Routin
 g for Dragonfly Networks"\n\nXin Yuan\nDepartment of Computer Science\nFlo
 rida State University (FSU)\n\nPlease feel free to forward/share this invi
 tation with other groups/disciplines that might be interested in this talk
 /topic. All are welcome to attend.\n\nNOTE: In-person attendance is reques
 ted in our 499 Dirac Science Library (DSL) Seminar Room. Zoom access is in
 tended for external (non-departmental) participants only.\n\nhttps://fsu.z
 oom.us/j/94273595552\nMeeting # 942 7359 5552\n\n🎦 Colloquium recording
 s will be made available here\, https://www.sc.fsu.edu/colloquium<https://
 nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sc.fsu.edu%2
 Fcolloquium&data=05%7C02%7Csc-seminar-announce%40lists.fsu.edu%7C601d74a6c
 5fd46c8baf908de89f4bcc2%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C63909
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 a=zbEhGJ%2BO0gKeeCM9JXC4qTA4FUDK4ZXRhfJ%2FGQQBVyk%3D&reserved=0>\n\n\nWedn
 esday\, Mar 25\, 2026\, Schedule:\n\n* 3:00 to 3:30 PM Eastern Time (US an
 d Canada)\n☕ Nespresso & Teatime - 417 DSL Commons\n\n* 3:30 to 4:30 PM 
 Eastern Time (US and Canada)\n🕟 Colloquium - 499 DSL Seminar Room\n\n\n
 Abstract:\nReinforcement Learning (MARL)-based routing has emerged as a pr
 omising approach for high-performance interconnect networks such as Dragon
 fly\, offering a viable alternative to the widely used Universal Globally 
 Adaptive Load-balanced (UGAL) routing. Practical routing on modern interco
 nnects must satisfy various requirements\, such as being deadlock-free and
  having a limited path length. These requirements impose routing constrain
 ts\, which in turn pose challenges for MARL-based routing. In particular\,
  two important issues must be addressed for a MARL-based scheme to be effe
 ctive. First\, in the presence of routing constraints\, sufficient path di
 versity to accommodate different traffic conditions is essential. Second\,
  since routing constraints influence how Q-values are propagated in a MARL
 -based scheme\, it is vital that the value propagation mechanism accounts 
 for the routing constraints. Existing MARL-based routing schemes for Drago
 nfly fall short in addressing both issues. As a result\, while they achiev
 e high performance for some traffic conditions\, they may exhibit poor per
 formance or even pathological behaviors in other scenarios. In this work\,
  we discuss the limitations of existing MARL-based routing schemes for Dra
 gonfly\, present methods to address the two key issues\, and develop UGAL-
 Q\, a novel MARL-based scheme that resolves these issues and overcomes the
  problems in existing approaches. We perform extensive evaluations using b
 oth synthetic traffic and HPC application benchmarks. The results demonstr
 ate that our scheme is more effective than existing ones and is a robust r
 outing solution for Dragonfly.\n\n\nAdditional colloquium details can be f
 ound here.\nhttps://www.sc.fsu.edu/news-and-events/colloquium/1914-colloqu
 ium-with-xin-yuan-2026-03-25<https://nam04.safelinks.protection.outlook.co
 m/?url=https%3A%2F%2Fwww.sc.fsu.edu%2Fnews-and-events%2Fcolloquium%2F1914-
 colloquium-with-xin-yuan-2026-03-25&data=05%7C02%7Csc-seminar-announce%40l
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SUMMARY;LANGUAGE=en-US:Scientific Computing Colloquium with Xin Yuan
DTSTART;TZID=Eastern Standard Time:20260325T153000
DTEND;TZID=Eastern Standard Time:20260325T162500
CLASS:PUBLIC
PRIORITY:5
DTSTAMP:20260324T222856Z
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