Expected payoff analysis of dynamic mixed strategies in an adversarial domain

Adversarial decision making is aimed at determining optimal decision strategies to deal with an adversarial and adaptive opponent. One defense against this adversary is to make decisions that are intended to confuse him, although our rewards can be diminished. In this contribution, we describe ongoing research in the design of time varying decision strategies for a a simple adversarial model. The strategies obtained are compared against static strategies from a theoretical and empirical point of view. The results show encouraging improvements that open new venues for research.