『Barbara Franci (Game Theory and Resource Allocation)』のカバーアート

Barbara Franci (Game Theory and Resource Allocation)

Barbara Franci (Game Theory and Resource Allocation)

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概要

 In this episode I have a lovely conversation with Dr BarbaraFranci about her research into game theory, exploring both theoretical concepts (such as variational inequalities, forwards-backwards algorithms, and stochasticNash equilibrium-seeking problems) and practical applications, including resource allocation, energy management, and generative adversarial networks! You can find the transcript at: https://docs.google.com/document/d/1h9AbCPzzlt7ggNOGx3bK3pwSaCUo__LtYzvdJ-5wqYw/edit?usp=sharing Follow the podcast on LinkedIn: https://www.linkedin.com/company/coffee-and-control-podcast/Or connect with me directly: https://www.linkedin.com/in/lucy-hodgins-733a30175/ ReferencesBarbara Franci: https://www.maastrichtuniversity.nl/b-franciPhD thesis: https://tesidottorato.depositolegale.it/bitstream/20.500.14242/198173/1/FRANCI%20Tesi2.pdfMore background on evolutionary games: https://users.ssc.wisc.edu/~whs/teaching/805/handbook.pdfJeff Shamma inConctrol episode: https://www.incontrolpodcast.com/1632769/episodes/18482182-ep40-jeff-shamma-gain-scheduling-nonlinear-control-learning-dissipativity-in-games-jiu-jitsu Wisdom of a crowd paper: https://epubs.siam.org/doi/abs/10.1137/18M1232267Francesco Bullo: https://fbullo.github.io/Original Galton paper: https://www.nature.com/articles/075450a0 Video on the Lagrangian: https://www.youtube.com/watch?v=GR4ff0dTLTwUseful lecture notes on these concepts: https://www.mit.edu/~gfarina/notes/ Distributed forwards-backwards paper: https://ieeexplore.ieee.org/abstract/document/9309063Extragradient paper: https://ieeexplore.ieee.org/abstract/document/11184508Relaxed inertial forwards-backwards paper: https://ieeexplore.ieee.org/abstract/document/9682905 Professor Lacra Pavel: https://www.ece.utoronto.ca/people/pavel-l/Deterministic decoupling paper: https://www.researchgate.net/publication/330888828_An_operator_splitting_approach_for_distributed_generalized_Nash_equilibria_computationPseudo-monotone functions: https://www.researchgate.net/publication/225986571_Pseudomonotone_Operators_A_Survey_of_the_Theory_and_Its_ApplicationsInertial gradient descent: https://www.youtube.com/watch?v=iudXf5n_3ro&t=60s GANs paper: https://ieeexplore.ieee.org/abstract/document/9523601Original Goodfellow paper: https://arxiv.org/abs/1406.2661 Partial information paper: https://www.sciencedirect.com/science/article/pii/S0005109821006300Incorporating a bias: https://ieeexplore.ieee.org/abstract/document/10886508Nash games with misleading information: https://ieeexplore.ieee.org/abstract/document/11008595Evolutionary dynamics in distributed control: https://ieeexplore.ieee.org/document/7823106
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