## Talks and Seminars

**Reinforcement learning in restless bandits**(slides)

*Workshop on restless bandits*, Grenoble, Nov 2023.**Planning (and learning) in multi-agent systems**(slides)

*MILA RL Workshop*, Mt Tremblant, Jun 2023.**Approximate planning and learning for partially observed systems**(slides) (video)

*University of Texas, A&M*, Oct 2022.**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*, Oaxaca, Mexico, Sep 2019.**Decentralized Kalman Filtering**(slides)

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

*Systems Science Seminar, University of Michigan*, Ann Arbor, MI, Jul 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*, Los Angeles, 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, Oct 2012.**Optimal decentralized stochastic control: A common information approach**(slides)

*Concordia University*, Montreal, Oct 2012.**Optimal decentralized stochastic control: The designer and common information approaches**

*CEA-EDF-INRIA Summer School on Stochastic Optimization*, Cadarache, Jul 2012.**Optimal decentralized stochastic control: A common information approach**(slides)

*GERAD (Group d'Etudes et de Recherche en Analyse des Décisions) Seminar*, Montreal, Apr 2012.**An overview of structural results in real-time communication**(slides)

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

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

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

*Ecole des Pont*, Paris, Jun 2010.**Decentralized decision making under uncertainty**(slides)

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

*University of California*, Berkeley, Apr 2010.**Auxiliary random variables in multi-terminal communication with feedback: a decentralized control perspective**

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

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

*University of Notre Dame*, South Bend, Mar 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.**Optimal design of sequential teams**(slides)

*McGill University*, Montreal, May 2009.