NUS-ISS-S-IPA Group Project Guide (RISM SRBP IPA) ----- “Mario-AI-PCG”
Our system is a game development system that integrates "automatic generation", "automatic testing" and "level selection". It is committed to solving the intelligent map design of the game industry. It uses a Procedural Content Generation (PCG) technology, which is based on Generative Adversarial Networks (GANs), Covariance Matrix Adaptation Evolution Strategy (CMA-ES), etc. The main function of our system is to be able to generate Mario game maps, and to provide automatic detection and trial play of new maps. This function is mainly realized through GAN & CMA-ES and other technologies. And our UI interface is designed based on java-swing. In the Techniques/Algorithms chapter of the project report, we discussed these technologies and algorithms in detail. ========================================== https://github.com/ISA-has-two-projcet/MarioPCG Group members: Tao Xiyan A0215472J Zhang Zekun A0215485B Xiao Yuchao A0215486Y
Our system is a game development system that integrates "automatic generation", "automatic testing" and "level selection". It is committed to solving the intelligent map design of the game industry. It uses a Procedural Content Generation (PCG) technology, which is based on Generative Adversarial Networks (GANs), Covariance Matrix Adaptation Evolution Strategy (CMA-ES), etc. The main function of our system is to be able to generate Mario game maps, and to provide automatic detection and trial play of new maps. This function is mainly realized through GAN & CMA-ES and other technologies. And our UI interface is designed based on java-swing. In the Techniques/Algorithms chapter of the project report, we discussed these technologies and algorithms in detail. ========================================== https://github.com/ISA-has-two-projcet/MarioPCG Group members: Tao Xiyan A0215472J Zhang Zekun A0215485B Xiao Yuchao A0215486Y