Disclosed is an agent learning compensation system. The system comprises: an input processing unit for receiving and processing an input of a real-time image and a natural language indication; an action determination unit for determining an autonomous movement action for reaching a destination by an agent in a three-dimensional indoor space, on the basis of information processed by the input processing unit; and a learning compensation unit for determining whether the agent maintains an answer path, through a predetermined compensation function in each state changed according to execution of the determined action by the agent, so as to grant compensation.
AGENT LEARNING COMPENSATION SYSTEM