Time and place
TBA
Presenters
Diederik M. Roijers (Vrije Universiteit Brussel & City of Amsterdam), Roxana Rădulescu (Vrije Universiteit Brussel)
Contact email: diederik.roijers@vub.be
Expected Background
Some previous experience (however brief) in either game theory, planning, reinforcement learning, or utility theory is desirable but not required. We will introduce the fundamental models we will use in this tutorial in a condensed manner.
Expected Gained Skills
* Take a utility-based approach to derive the appropriate solution to a multi-objective multi-agent problem
* Identify the different objectives and (re)formulate multi-objective decision problems
* Analyze multi-objective normal form games and their (absence of) Nash equilibria
Brief Description
Many, if not most, real-world decision problems have more than a single objective and more than one agent. As the multi-objective aspect fundamentally changes everything you thought you knew about multi-agent decision making, we will take a dive into what it means to have multiple agents that care about more than one aspect of the solution.