Verification of Applying Curiosity-Driven to Fighting Game AI

Abstract

In this paper, we apply a curiosity-driven intrinsic reward to reinforcement learning (RL) in a fighting game and verify its effectiveness. An actor-critic model is used for RL. Our experimental results show that the proposed AI has a better learning ability than an AI using a standard actor-critic model.