This paper investigates a relatively new direction in Multiagent Reinforcement Learning. Most multiagent learning techniques focus on Nash equilibria as elements of both the learn...
Searching for a point in the plane is a well-known search game problem introduced in the early eigthies. The best known search strategy is given by a spiral and achieves a competi...
In sports competitions, teams can manipulate the result by, for instance, throwing games. We show that we can decide how to manipulate round robin and cup competitions, two of the ...
Abstract. In this paper we explicitly model risk aversion in multiagent interactions. We propose an insurance mechanism that be can used by risk-averse agents to mitigate against r...
In this paper we consider the problem of controller synthesis for timed games under imperfect information. Novel to our approach is the requirements to strategies: they should be b...
Franck Cassez, Alexandre David, Kim Guldstrand Lar...