Using Common Sense for Decision Making in an Adventure Game

In this paper we apply common sense knowledge to the task of decision making in an adventure game. We show how knowledge about the underlying domain, induced from a common sense knowledge base, can be used to do reward shaping of the environment, enabling reinforcement learning agents to learn optimal behaviours faster. The lessons learnt from this experiment could be used as a first step to finding robust applications of common sense knowledge.