In the empirical approach to game-theoretic analysis (EGTA), the model of the game comes
not from declarative representation, but is derived by interrogation of a procedural …

Credit networks are an abstraction for modeling trust among agents in a network. Agents
who do not directly trust each other can transact through exchange of IOUs (obligations) …

Trust region methods are widely applied in single-agent reinforcement learning problems
due to their monotonic performance-improvement guarantee at every iteration. Nonetheless …

We present an overview of an emerging methodology for applying game-theoretic analysis
to strategic environments described by a simulator. We first introduce the problem of solving …

Strategic Modeling of Information Sharing Among Data Privacy Attackers 1 Introduction Page 1
Informatica 34 (2010) 151–158 151 Strategic Modeling of Information Sharing Among Data …

Many multi-robot decision problems present autonomous agents with a dual challenge: the
accurate egocentric estimation of the state and strategy of their adversaries, in the face of …

Many real-world multiplayer scenarios are too large or complex to be described and
analyzed with game theory. Empirical Game-Theoretic Analysis (EGTA) reasons about …

Trust-region methods are widely used in single-agent reinforcement learning. One
advantage is that they guarantee a lower bound of monotonic payoff improvement for policy …

Multi-agent systems research raises many interesting questions about the actions of
autonomous, interacting decisionmakers. Game theory helps to answer some of those …

The framework of credit networks provides a flexible and robust model of distributed trust,
based on pairwise credit allocations representing commitments to allow transactions. Since …