Real-Time Plan Adaptation for Case-Based Planning in Real-Time Strategy Games

Abstract. Case-based planning (CBP) is based on reusing past success-ful plans for solving new problems. CBP is particularly useful in envi-ronments where the large amount of time required to traverse extensive search spaces makes traditional planning techniques unsuitable. In par-ticular, in real-time domains, past plans need to be retrieved and adapted in real time and efficient plan adaptation techniques are required. We have developed real time adaptation techniques for case based planning and specifically applied them to the domain of real time strategy games. In our framework, when a plan is retrieved, a plan dependency graph is inferred to capture the relations between actions in the plan suggested by that case. The case is then adapted in real-time using its plan de-pendency graph. This allows the system to create and adapt plans in an efficient and effective manner while performing the task. Our techniques have been implemented in the Darmok system (see [8]), designed to play WARGUS, a well-known real-time strategy game. We analyze our ap-proach and prove that the complexity of the plan adaptation stage is polynomial in the size of the plan. We also provide bounds on the final size of the adapted plan under certain assumptions.