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麻豆AV.CA / Centre pour les machines intelligentes / Events

厂茅尘颈苍补颈谤别蝉 sur les syst猫mes informels

麻豆AV

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Presenter writes equations on whiteboard

Les s茅minaires informels sur les syst猫mes ont g茅n茅ralement lieu le vendredi et couvrent des sujets dans le domaine des syst猫mes et du contr么le. Depuis 2020, ils sont devenus les s茅minaires virtuels sur les syst猫mes informels (VISS) et peuvent 锚tre suivis de n'importe o霉 dans le monde. Il s'agit d'une s茅rie de s茅minaires de longue date organis茅s au Centre de Recherche sur les Machines Intelligentes en collaboration avec le GERAD (Groupe de Recherche en Analyse de la D茅cision). Ces 茅v茅nements pr茅sentent des conf茅renciers 茅minents du monde entier qui pr茅sentent des s茅minaires sur leurs derni猫res recherches.

Les enregistrements des s茅minaires s茅lectionn茅s peuvent 锚tre visionn茅s sur Youtube ici :

Voir ci-dessous pour un historique des s茅minaires de ces derni猫res ann茅es.

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2024

Date Speaker Title Recording
July 26, 2024 Luciano Marzufero Some optimal visiting problems: from a single player to a crowd of agents 听
July 5, 2024 Ali Pakniyat Nonlinear Stochastic Hybrid Optimal Control with Fixed Terminal States 听
July 4, 2024 Amit Sinha Periodic agent-state based Q-learning for POMDPs 听
June 14, 2024 Weijian Li Distributed Nash Equilibrium Seeking over Networks 听
June 3, 2024 Raihan Seraj Dynamic Estimation of Mental Workload and Operator Accuracy in Human Automation Teams 听
May 31, 2024 Kai Cui Mean field games on sparse graphs using graphons, Lp graphons and graphexes 听
May 10, 2024 Subrata Golui Discrete-time zero-sum games for Markov chains with risk-sensitive average cost criterion 听
April 26, 2024 Dengwang Tang Informed Posterior Sampling Based Reinforcement Learning Algorithms 听
April 24, 2024 Borna Sayedana Relative Almost Sure Regret Bounds for Certainty Equivalence Control of Markov Jump Systems 听
April 12, 2024 Ahmad Haidar Using Bayesian Estimation to Provide Personalized Insulin Dosing for Type 1 Diabetes: Algorithm Development and Clinical Testing 听
April 5, 2024 Xudong Chen Geometric Characterization of H-property for Step-graphons 听
Feb 16, 2024 Jiamin Jian Convergence of the equilibrium measure for LQG mean field games with common noise 听

2023

Date Speaker Title Recording
Dec 8, 2023 James-Michael Leahy Rough partial differential equations: applications in fluid dynamics 听
Nov 24, 2023 Torstein Nilssen An introduction to differential equations driven by rough path 听
Nov 17, 2023 Bora Yongacoglu Connections between POMDPs and partially observed n-player mean-field games
Nov 10, 2023 Alex Dunyak Linear Stochastic Graphon Systems with Q-Noise
Oct 13, 2023 Giacomo Como On a Network Centrality Maximization Game
June 27, 2023 Mohamad Kazem Shirani Faradonbeh Continuous-Time Linear-Quadratic Reinforcement Learning
May 12, 2023 Valentin F茅ray Graphon Limits of Static and Dynamic Models of Random Cographs 听
April 21, 2023 Igor Mezic Koopman Operator Theory Based Machine Learning of Dynamical Systems
April 14, 2023 Yarom Baram The Subcritical Brain and Motion Control
April 11, 2023 Nicolas Gast How to Use Mean-Field Control for Restless Bandits and Weakly Coupled MDPs
March 24, 2023 Peyman Mohajerin Esfahani The Role of Convexity in Data-Driven Decision-Making
March 10, 2023 Georgi Medvedev Graphon Dynamical Systems: A Law of Large Numbers, Large Deviations, and Applications 听
March 3, 2023 Julian Pineda A Potential Approach for One-Dimensional Price Formation Models
February 17, 2023 Chuang Xu Mean Field Limits of Heterogeneous Networks
February 10, 2023 Pierre-Luc Bacon Decision Awareness in Reinforcement Learning
January 13, 2023 Vivek Borkar Reinforcement Learning for Non-Markovian Environments

2022

Date Speaker Title Recording
December 16, 2022 Enrique Zuazua Control and Machine Learning 听
December 2, 2022 David Bensoussan Sensitivity-Based Design Methods Achieving Improved Control Performance
November 18, 2022 Mireille E. Broucke Adaptive Internal Models in Systems Neuroscience
November 11, 2022 Denis Ullmo A Mean Field Game Description of Pedestrian Dynamic
October 28, 2022 Ruimeng Hu Convergence of Empirical Measures, Mean-Field Games and Deep Learning Algorithms 听
October 21, 2022 Shuang Gao Transmission Neural Networks: From Virus Spread Models to Neural Networks 听
October 14, 2022 Giorgio Ferrari A Stationary Mean-Field Equilibrium Model of Irreversible Investment in a Two-State Economy 听
October 7, 2022 Jodi Dianetti & Max Nendel Submodular Mean Field Games: From Examples to a General Formulation 听
September 30, 2022 Matthew M. Peet Converse Lyapunov Functions and How to Find Them 听
September 22, 2022 Josh Taylor Convex Optimization of Bioprocesses 听
September 16, 2022 Petar Veli膷kovi膰 Geometric Deep Learning
June 17, 2022 Ruslan Goyenko Asset Pricing With Attention Guided Deep Learning
April 29, 2022 Tryphon Georgiou Principles of Energy Harvesting in Stochastic Thermodynamic Engines
April 22, 2022 Eilyan Bitar Achieving Reliable Coordination of Residential Plug-in Electric Vehicle Charging: A Pilot Study in Upstate New York 听
March 25, 2022 Rahul Jain Data-driven and learning-based methods for control: Challenges and new horizons 听
March 18, 2022 Necmiye Ozay Learning Models and Constraints with Limited Data
March 11, 2022 Alec Koppel Beyond the Cumulative Return in Reinforcement Learning
February 25, 2022 Maryam Kamgarpour Learning Nash equilibria with partial information 听
February 18, 2022 Estelle Inack Variational neural annealing
February 11, 2022 Yurii Averboukh Lattice approximations of mean field type control systems
February 4, 2022 Pierre-Emmanuel Jabin Mean field limits for non-exchangeable multi-agent systems
January 14, 2022 Emmanuel Tr茅lat Exponential convergence towards consensus for non-symmetric linear first-order systems in finite and infinite dimensions

2021

Date Speaker Title Recording
December 3, 2021 Mehran Mesbahi First Order Methods for Control Synthesis 听
November 12, 2021 Ricardo D. Ribeiro MFG Price Models with Common Noise 听
October 15, 2021 Naci Saldi A Topology for Policies in Stochastic Teams and Existence of Optimal Policies
September 24, 2021 Silv猫re Bonnabel Geometric Filtering and Autonomous Navigation
July 9, 2021 Nima Akbarzadeh Restless Bandits: Indexability, Whittle Index Computation and Learning 听
June 25, 2021 Jayakumar Subramanian Two Reinforcement Learning Problems from Healthcare and Generative Social Science 听
June 18, 2021 Mohamad Kazem Shirani Faradonbeh Adaptive Linear-Quadratic Regulators 听
June 4, 2021 Margaret P. Chapman Risk-Sensitive Safety Analysis via Conditional Value-at-Risk 听
April 16, 2021 Philip Par茅 Epidemic Spread with Transportation: Modeling, Inference, and Control
April 9, 2021 Nathalie Ayi Mean-field and Graph Limits for Collective Dynamics Models with Time-varying Weights
April 2, 2021 Prashant G. Mehta What is the Lagrangian for Nonlinear Filtering?
March 26, 2021 Kai Cui Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning
March 19, 2021 Jun Liu Formal Methods for Nonlinear Control: A Robustness Perspective 听
March 12, 2021 Jr-Shin Li Control of Inhomogeneous Dynamic Ensembles
February 19, 2021 Fabio Coppini Weakly Interacting Particles on Dense Graph Sequences
February 12, 2021 Joao Saude Mean-field Games Models of Price Formation
February 5, 2021 Dengwang Tang Dynamic Games among Teams with Asymmetric Information
January 29, 2021 Dena Firoozi LQG Mean Field Games with a Major Agent: Nash Certainty Equivalence versus Probabilistic Approach 听
January 15, 2021 Rabih Salhab Social Learning under Behavioral Assumptions 听
January 8, 2021 James Richard Forbes Optimal Control of Quadrotors on the Matrix Lie Group of Double Direct Isometries SE_2(3) 听

2020

Date Speaker Title
December 11, 2020 Shuang Gao Subspace Decompositions in Graphon Control and Graphon Mean Field Games
December 4, 2020 William Hamilton Graph Representation Learning: Recent Advances and Open Challenges
November 27, 2020 Kevin Church Floquet Theory, Invariant Manifolds and Control with Impulsive Delay Differential Equations
November 20, 2020 David M茅tivier Mean Field Control and Disorder for Efficient Mixing of Energy Loads
November 13, 2020 Minyi Huang Linear-Quadratic Mean Field Games with a Major Player: Nash Certainty Equivalence versus Master Equations
November 6, 2020 Fabio Pasqualetti Synchronization Patterns in Networks of Kuramoto Oscillators for the Analysis and Control of Dynamic Functional Connectivity
October 30, 2020 Dileep Kalathil Reinforcement Learning with Robustness and Safety Guarantees
October 23, 2020 鈥猆tsav Sadana Open-loop Nash Equilibria in Nonzero-sum Differential Games with Impulse Controls
October 9, 2020 鈥猋urii Averboukh Control Theory Viewpoint to the Finite State Mean Field Games
October 2, 2020 Abhishek Gupta Stochastic Recursive Algorithms: A Markov Chain Perspective
September 25, 2020 Daniel Lacker A case study on stochastic games on large graphs in mean field and sparse regimes
September 18, 2020 Vassili N. Kolokoltsov Quantum Mean Field Games: Part 2
September 11, 2020 Vassili N. Kolokoltsov Quantum Mean Field Games: Part 1
February 28, 2020 Maxime Laborde Systems of Evolution Equations Coupled Through Optimal Transport and Application to Urban Planning

2019

Date Speaker Title
November 29, 2019 Ehsan Hashemi State Estimation and Integrated Control Frameworks for Automated Driving Systems
November 15, 2019 Jean-Francois Chamberland Coding and Compressed Sensing for Unsourced Multiple Access
October 11, 2019 David Levanony On Bounded Solutions of Linear SDEs Driven by Convergent System Matrix Processes with Hurwitz Limits*
October 4, 2019 Ryan J. Kinnear Graph Topological Aspects of Granger Causal Network Learning
August 20, 2019 Behrouz Touri Stochastic Adventures in Systems and Controls
July 29, 2019 Romeo Ortega New Results on Identification and Adaptive Control Using Dynamic Regressor Extension and Mixing Parameter Estimation
May 31, 2019 Meir N. Pachter Wolfpack Pursuit
May 30, 2019 Ali Pakniyat The Quest for Missing Component: Dualities in Hybrid Optimal Control
May 17, 2019 Mauro Salazar Autonomous Mobility-on-Demand
May 15, 2019 Riccardo Bonalli Real-time optimal control of endo-atmospheric launch vehicles
May 10, 2019 Mohammad Afshari Team optimal decentralized control of major-minor agents with partial observations
May 3, 2019 Francesca Parise A Network Game Framework for the Analysis of Socio-technical Systems
May 1, 2019 Josh Taylor Optimal Planning and Control of Direct Current Lines in Power Systems
April 19, 2019 Murat Arcak Scalable Symbolic Control
March 29, 2019 Levon Nurbekyan Variational Structures and Optimization Methods for Mean Field Game (MFG) Systems
February 15, 2019 Shujun Liu Stochastic Extremum Seeking and its Applications
February 1, 2019 Levon Nurbekyan Fourier Approximation Methods for Nonlocal Mean-Field Games

2018

Date Speaker Title
December 7, 2018 Andrew Lamperski Optimal Control with Noisy Time and Communicative Actions
December 4, 2018 Richard Y. Zhang Restricted Isometry, Low-Rank Matrix Recovery, and Power System State Estimation
December 3, 2018 Yi Ouyang Thompson sampling in online decision-making
November 23, 2018 Ashutosh Nayyar Decentralized Control over Unreliable Communication Links
November 22, 2018 Ashutosh Nayyar Common Knowledge and Dynamic Games of Asymmetric Information
November 9, 2018 Izchak Lewkowicz Dissipative Systems - Convex Invertible Cones point of view
November 2, 2018 Jayakumar Subramanian Reinforcement learning in exchangeable multi-agent systems
October 5, 2018 Rinel Foguen Tchuendom Selection Of Equilibria In Linear Quadratic Mean Field Games
September 28, 2018 David Levanony On White Noise Associated Large Deviation Principles
June 18, 2018 Ravi R. Mazumdar On the Capacity of Additive Channels
March 20, 2018 Rodolphe Sepulchre Mean-field control at cellular resolution
March 2, 2018 Sean Meyn Fastest Convergence for Q-learning
January 19, 2018 Dena Firoozi A Mean Field Game - Hybrid Systems Approach to Optimal Execution Problems in Finance with Stopping Times

2017

Date Speaker Title
November 17, 2017 Cem Tekin Combinatorial and Multi-objective Online Learning
November 17, 2017 Demosthenis Teneketzis Economizing the Uneconomic: Markets for Reliable, Sustainable and Price Efficient Electricity
November 16, 2017 Demosthenis Teneketzis A Common Information Approach to Stochastic Dynamic Games with Asymmetric Information
November 16, 2017 Somayeh Sojoudi Data-Driven Methods for Learning Sparse Graphical Models
October 18, 2017 Pierre Del Moral On the stability and the uniform propagation of chaos properties of Ensemble Kalman-Bucy filters
October 10, 2017 Ravi R. Mazumdar On Recovering Causality Information from Time Series Data
September 29, 2017 Adam M. Oberman A PDE approach to regularization in Deep Learning
August 3, 2017 Tarek Hamel Observers for position estimation using bearing and biased velocity information
May 24, 2017 Sebastian Jaimungal Robust Stochastic Games and Systemic Risk
April 6, 2017 Velimir Jurdjevic The Maximum Principle and Symmetry: Integrable Hamiltonian Systems
March 31, 2017 Nikolai Matni A system level approach to controller synthesis
March 24, 2017 Jorge Cortes Distributed Coordination for Network Optimization
March 24, 2017 Mohammed Abouheaf Reinforcement Learning Applications in Power Systems
February 17, 2017 Roger W. Brockett Stabilizing and Tracking Periodic Operating Conditions
January 27, 2017 Cody Hyndman Filtering and Stochastic Control in Finance
January 20, 2017 Ahmad Haidar The Artificial Pancreas: How Closed-Loop Control is Revolutionizing Diabetes
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