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Informal Systems Seminars

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Informal Systems Seminars (ISS) generally take place on Fridays and cover topics in the domain of Systems and Control. Since 2020, they have become the Virtual Informal Systems Seminars (VISS) and can be attended from anywhere in the world. This is a long-standing seminar series organized at the Centre for Intelligent Machines in conjunction with (Group for Research in Decision Analysis). These events feature prominent speakers from around the world who present seminars on their latest research.

Recordings of selected seminars can be viewed on Youtube here:

See below for a history of the seminars in recent years.

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

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

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

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

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

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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