# Talks and Presentations

**Reinforcement Learning in Stationary Mean-Field Games**(slides) (video)

*Machine Learning and Mean-Field Games*, Nov 2021**Robustness and sample complexity of model-based MARL for general-sum Markov games**(slides)

*Workshop on Agent behavior in combinatorial game theory*, Nov 2021**Learning to control network-coupled subsystems with unknown dynamics**(slides) (video)

*Workshop on Mean-field games on Networks*, Nov 2021**Approximate planning and learning for partially observed systems**(slides) (video)

*Reinforcement learning and sotchastic control in queues and networks (ReStoq) Workshop, WiOpt*, Oct 2021**Approximate planning and learning for partially observed systems**(slides) (video)

*Communication and Signal Processing Seminar, University of Michigan*, Feb 2020**Approximate planning and learning for partially observed systems**(slides)

*Mila RL Reading Group*, Feb 2020**Information state (and its approximations) for stochastic control**(slides)

*BIRS-CMO Workshop on Multi-Stage Stochastic Optimization for Clean Energy Transition*, Sep 2019**Decentralized Kalman Filtering**(slides)

*Fields Workshop on Stochastic Processes and their Applications, Ottawa*, Aug 2017**Mean-field teams**

*Systems Science Seminar, University of Michigan*, July 2017**Fundamental limits of remote estimation**(slides)

*BLISS Seminar, UC Berkeley*, Mar 2017**Remote state estimation over erasure channels: structure of optimal strategies and fundamental limits**(slides)

*IT Forum, Stanford*, Nov 2016**Optimal decentralized control of systems with partially exchangeable agents**(slides)

*Allerton Conference on Communication, Control, and Computing*, Sep 2016**Fundamental limits of remote estimation under communication constraints**(slides)

*Modeling and Optimization in Mobile, Ad-Hoc Wireless Networks (WiOpt)*, May 2016**Remote estimation of Markov processes under communication constraints**(slides)

*Applied Probability Conference, Rutgers*, Oct 2015**Mean-field teams**

*CommNets Seminar, USC*, Aug 2015**Fundamental limits of remote-estimation under communication constraints**(slides)

*Mathematical Cybernetics: Hybrid, Stochastic and Decentralized Systems*, May 2015**Optimal real-time transmission of Markov sources under constraints on the number of transmissions**(slides)

*University of Toronto*, Nov 2014**Decentralized stochastic control: The person-by-person and common information approaches**(slides) (video)

*BIRS Workshop on Optimal Cooperation, Communication, and Learning in Decentralized Systems , Banff*, Oct 2014**Decentralized stochastic control**(slides)

*REPARTI (Regroupement pour l'étude des environnements partagés intelligents répartis) Workshop , Quebec City*, May 2014**Dynamic Programming in Decentralized Stochastic Control**

*GERAD (Group d'Etudes et de Recherche en Analyse des Décisions) Seminar , Montreal*, October 2012**Optimal decentralized stochastic control: A common information approach**(slides)

*Concordia University , Montreal*, October 2012

*GERAD (Group d'Etudes et de Recherche en Analyse des Décisions) Seminar , Montreal*, April 2012**Optimal decentralized stochastic control: The designer and common information approaches**

*CEA-EDF-INRIA Summer School on Stochastic Optimization , Cadarache*, July 2012**An overview of structural results in real-time communication**(slides)

*BIRS workshop on interactive information theory , Banff*, January 2012**Separation results for decentralized stochastic control under delayed sharing of information**(slides)

*Queen's University , Kingston*, July 2011**Introduction to sequential teams**(slides)

*MITACS workshop on fusion and inference in networks, Bellairs Insitute , Barbados*, March 2011**Decentralized decision making under uncertainty**(slides)

*Ecole des Pont , Paris*, June 2010

*McGill University , Montreal*, May 2010**Auxiliary random variables in multi-terminal communication with feedback: a decentralized control perspective**

*University of California , Berkeley*, April 2010

*Stanford University , Stanford*, April 2010**Interconnections between information theory and decentralized stochastic control**

*University of Illinois , Urbana Champaign*, March 2010**Structure of optimal decentralized control policies: an axiomatic approach**(slides)

*University of Notre Dame , South Bend*, March 2010**Role of information structures in decentralized decision making**(slides)

*University of California , Los Angeles*, Feb 2010**Graphical reasoning for decentralized systems**(slides)

*University of Michigan , Ann Arbor*, Oct 2009**Optimal design of sequential teams**(slides)

*Queen's University , Kingston*, May 2009

*McGill University , Montreal*, May 2009