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UID:20250725T181023EDT-3024HiJIKS@132.216.98.100
DTSTAMP:20250725T221023Z
DESCRIPTION:Informal Systems Seminar (ISS)\n	Centre for Intelligent Machines
  (CIM) and Groupe d'Etudes et de Recherche\n	en Analyse des Decisions (GERA
 D)\n\nSpeaker: Kai Cui\n	\n	Zoom Link\n	\n	Meeting ID: 845 1388 1004       \n	P
 asscode: VISS\n\n** Note that this is a hybrid event.\n	** This seminar wil
 l be projected at McConnell 437 at 51³Ô¹ÏÍø.\n	\n	Abstract: In this
  talk\, we consider mean field games on graphs in discrete time. Here\, ea
 ch node corresponds to a single agent\, and agent interaction is through t
 heir neighborhoods. We begin by reiterating graphon mean field games on de
 nse graphs. There\, we show a computational reduction thereof to standard 
 mean field games\, as well as a propagation of chaos to motivate the limit
 ing system. We also extend results to sparser graphs via Lp graphons\, and
  more recently via graphex mean field games for significantly more realist
 ic\, sparse graphs. Finally\, we briefly give an outlook on our recent rei
 nforcement learning algorithms for mean field control\, which could be an 
 avenue for future graphical extensions.\n	\n	Bio: I am a fifth year PhD cand
 idate at the Self-Organizing Systems Lab under supervision of Professor He
 inz Koeppl at Technische Universität Darmstadt. My research focuses on mul
 ti-agent reinforcement learning\, mean-field games and applications thereo
 f. Prior to the PhD studies\, I received my MSc degrees in Computer Scienc
 e as well as Electrical Engineering and Information Technology at Technisc
 he Universität Darmstadt.\n
DTSTART:20240531T143000Z
DTEND:20240531T153000Z
LOCATION:Zames Seminar Room\, MC 437\, McConnell Engineering Building\, CA\
 , QC\, Montreal\, H3A 0E9\, 3480 rue University
SUMMARY:Mean field games on sparse graphs using graphons\, Lp graphons and 
 graphexes
URL:/cim/channels/event/mean-field-games-sparse-graphs
 -using-graphons-lp-graphons-and-graphexes-357441
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