  Multiplayer Online Battle Arena (MOBA) is one of the most played game genres
nowadays. With the increasing growth of this genre, it becomes necessary to
develop effective intelligent agents to play alongside or against human
players. In this paper we address the problem of agent development for MOBA
games. We implement a two-layered architecture agent that handles both
navigation and game mechanics. This architecture relies on the use of Influence
Maps, a widely used approach for tactical analysis. Several experiments were
performed using {\em League of Legends} as a testbed, and show promising
results in this highly dynamic real-time context.
