In this paper, a scalar game is derived from a zero-sum Multicriteria matrix game, and it is proved that the solution of the new game with strictly positive secularization is a necessary and sufficient Condition for a strategy to be a Pareto-optimal security strategy (POSS) For one of the players in the original game. Proving does this that a certain set, which is the extension of the set of security level vectors in the criterion function space, is convex and polyhedral. It is also established that only a finite number of scalarizations are necessary to obtain all the POSS for a player. An example is included to illustrate the main steps in the proof
The notion of optimality naturally arises in many areas of applied mathematics and computer science ...
Using Pareto optimization in Multi-Objective Reinforcement Learning (MORL) leads to better learning ...
We consider multi-player games, and the guarantees that a master player that plays on behalf of a se...
In this paper, we propose new solution concepts for multicriteria games and compare them with existi...
[EN] In this paper, we characterize minimax and Pareto-optimal security payoff vectors for general m...
Abstract. In this paper, we deal with a multicriteria competitive Markov deci-sion process. In the d...
Multiobjective matrix games have been traditionally analyzed from two different points of view: equi...
AbstractA recent research work of Clemente et al. [12] on Pareto-optimal security strategies (POSS) ...
This paper considers nonzero-sum multicriteria games with continuous kernels. Solution concepts base...
In this paper, we analyze different mathematical formulations for general Stackelberg games (GSGs) a...
The burgeoning area of security games has focused on real-world domains where security agencies prot...
The burgeoning area of security games has focused on real-world domains where security agencies prot...
This paper considers a special case of security games dealing with the protection of a large area di...
In this paper we analyze general Stackelberg games (SGs) and Stackelberg security games (SSGs). SGs ...
This paper examines the existence of strategic solutions for finite normal form games under the assu...
The notion of optimality naturally arises in many areas of applied mathematics and computer science ...
Using Pareto optimization in Multi-Objective Reinforcement Learning (MORL) leads to better learning ...
We consider multi-player games, and the guarantees that a master player that plays on behalf of a se...
In this paper, we propose new solution concepts for multicriteria games and compare them with existi...
[EN] In this paper, we characterize minimax and Pareto-optimal security payoff vectors for general m...
Abstract. In this paper, we deal with a multicriteria competitive Markov deci-sion process. In the d...
Multiobjective matrix games have been traditionally analyzed from two different points of view: equi...
AbstractA recent research work of Clemente et al. [12] on Pareto-optimal security strategies (POSS) ...
This paper considers nonzero-sum multicriteria games with continuous kernels. Solution concepts base...
In this paper, we analyze different mathematical formulations for general Stackelberg games (GSGs) a...
The burgeoning area of security games has focused on real-world domains where security agencies prot...
The burgeoning area of security games has focused on real-world domains where security agencies prot...
This paper considers a special case of security games dealing with the protection of a large area di...
In this paper we analyze general Stackelberg games (SGs) and Stackelberg security games (SSGs). SGs ...
This paper examines the existence of strategic solutions for finite normal form games under the assu...
The notion of optimality naturally arises in many areas of applied mathematics and computer science ...
Using Pareto optimization in Multi-Objective Reinforcement Learning (MORL) leads to better learning ...
We consider multi-player games, and the guarantees that a master player that plays on behalf of a se...