Hideyasu Inoue, Yoshina Takano, R. Thawonmas, Tomohiro Harada
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Verification of Applying Curiosity-Driven to Fighting Game AI
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.
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