Evolutionary Learning with Deep Boltzmann Machine for Mario AI Championships
Hisashi Handa · IEEJ Transactions on Electronics Information and Systems · 2014
The use of the Deep Boltzmann Machine for Neuroevolution in the case of Mario AI is discussed in this paper. The scene information in the Mario AI is transformed into a feature space generated by using the Deep Boltzmann Machine. Experimental results show that the proposed method, i.e., Neuroevolution with the Deep Boltzmann Machine outperforms the one with shallow Boltzmann Machine and other methods.