When speed matters in learning against adversarial opponents
Mohamed Elidrisi, Maria L. Gini · Adaptive Agents and Multi-Agents Systems · 2012
We propose a novel algorithm that is able to learn and adapt to an opponent even within a limited number of interactions and against a rapidly adapting opponent. The context we use is two player normal form games. We compare the performance of an agent using our algorithm against agents using existing multiagent learning algorithms.