Selecting strategies using empirical game models: an experimental analysis of meta-strategies

In many complex multi-agent domains it is impractical to compute exact analytic solutions. An alternate means of analysis applies computational tools to derive and analyze empirical game models. These models are noisy approximations, which raises questions about how to account for uncertainty when analyzing the model. We develop a novel experimental framework and apply it to benchmark meta-strategies

• Type: Conference
• Year: 2008
• Where: ATAL
• Authors: Christopher Kiekintveld, Michael P. Wellman
• Keywords: ATAL 2008, Empirical Game Models, Intelligent Agents, Logit Equilibrium, Nash Equilibrium