The 2017 AIBIRDS Competition
  This paper presents an overview of the sixth AIBIRDS competition, held at the
26th International Joint Conference on Artificial Intelligence. This
competition tasked participants with developing an intelligent agent which can
play the physics-based puzzle game Angry Birds. This game uses a sophisticated
physics engine that requires agents to reason and predict the outcome of
actions with only limited environmental information. Agents entered into this
competition were required to solve a wide assortment of previously unseen
levels within a set time limit. The physical reasoning and planning required to
solve these levels are very similar to those of many real-world problems. This
year's competition featured some of the best agents developed so far and even
included several new AI techniques such as deep reinforcement learning. Within
this paper we describe the framework, rules, submitted agents and results for
this competition. We also provide some background information on related work
and other video game AI competitions, as well as discussing some potential
ideas for future AIBIRDS competitions and agent improvements.
