Playing Angry Birds with a Domain-Independent PDDL+ Planner
  This demo paper presents the first system for playing the popular Angry Birds
game using a domain-independent planner. Our system models Angry Birds levels
using PDDL+, a planning language for mixed discrete/continuous domains. It uses
a domain-independent PDDL+ planner to generate plans and executes them. In this
demo paper, we present the system's PDDL+ model for this domain, identify key
design decisions that reduce the problem complexity, and compare the
performance of our system to model-specific methods for this domain. The
results show that our system's performance is on par with other domain-specific
systems for Angry Birds, suggesting the applicability of domain-independent
planning to this benchmark AI challenge.
