[Opt-Net] Training School on Mixed-integer games (MING2020)

[Martin Schmidt]

Training School on Mixed-integer games (MING2020)
Training School jointly organized by the COST Action CA16228 (GAMENET) and the Marie-Curie ITN MINOA

https://sites.google.com/view/mixedintegergames/the-workshop

The training school on Mixed-Integer Games will take place at Maastricht University from September 28 to 30, 2020. It is jointly organized by GAMENET (the European Network for Game Theory), MINOA (the Mixed Integer and Non-linear Optimisation: Algorithms and Applications consortium) and Maastricht University (both the department of Data Science and Knowledge Engineering (DKE) and Quantitative Economics (QE)). Registrations for the workshop is free but compulsory. You can register here

https://sites.google.com/view/mixedintegergames/registration

THE TRAINING SCHOOL

Computational game theory is a rapidly growing field with many applications in the sciences and social sciences. A tractable computational environment to these challenging multi-agent optimization problems is provided by the theory of variational inequalities and monotone operators. These approaches work well for games with continuous strategy spaces and local cost functions satisfying joint monotonicity properties.

Motivated by many problems in engineering and operations research, a recent line of literature investigated the algorithmic foundations of Nash equilibrium in the presence of mixed-integer constraints on the players' action sets. Indeed, such mixed-integer formulations of games are prevalent in control and design of networked systems such traffic networks, unit-commitment problems, supply-chain problems, etc.

A key challenge in the algorithmic design for game theoretic models is that computations have to be performed locally in a distributed way, with as little central coordination as possible. Recently, many advances have been made in this direction for solving large-scale networked mixed-integer problems. The aim of this training school is to discuss possible ways to extend these seminal contributions to game-theoretic problems with potentially non-linear payoffs, so that the individual agents' problem are going to be mixed-integer non-linear optimization problems.

IMPORTANT NOTE

Due to the current situation regarding the Corona virus, MING2020 may possibly only be held virtually. We will inform you on our website as soon as there is news.

PROGRAMM COMMITTEE

* Matúš Mihalák, Maastricht University
* Tim Oosterwijk, Maastricht University
* Mathias Staudigl, Maastricht University
* Martin Schmidt, Universität Trier
* Veerle Tan-Timmermans, RWTH Aachen

IMPORTANT DATES

* Registration Deadline: June 30, 2020
* Notification of Acceptance: July 14, 2020
* Workshop: September 28-30, 2020