Provided is a deep learning-based value evaluation method and apparatus. The value evaluation method performed by the value evaluation apparatus according to the present disclosure comprises the steps of: generating, by a generator, a virtual data sample; determining, by each of a plurality of determiners, the data sample in parallel; receiving, by a reinforcement learning performing unit, results of the determination by each of the plurality of determiners and determining a policy gradient according to the received results of the determination; and learning, by the generator or plurality of determiners, by using the determined policy gradient. Through the above configurations, the reliable and sufficient volume of evaluation-based data can be secured by using deep learning-based artificial intelligence. Also, user convenience can be improved by obtaining a value evaluation result only with an input of a simple evaluation item.
DEEP LEARNING-BASED VALUE EVALUATION METHOD AND APPARATUS