چکیده مقاله
In this paper, a convolutional neural network model recently developed by Minh et al 2015 is applied to evaluate the Qfunction from raw pixel values from the screen We took advantage of this method for Flappy Bird, a mobile game which is well known for being hard for humans to play This method is capable of approximating Q function to allow generalization to unseen states, not only it leads to faster convergence, but also it makes proposed method to be generalize enough to apply for different problems in different domain without changing much
کلیدواژهها
نویسندگان
Amirreza Parhizkar
Dept of Computer Science, Amirkabir University of Technology, Tehran
Mojtaba Amani
Dept of Computer Science, University of Bojnord, Bojnord, North Khorasan Province
شیوه ارجاع
Parhizkar, Amirreza and Amani, Mojtaba,1396,Flappy Bird with Deep Reinforcement Learning,2rd International Conference on Soft Computing,Rudsar
ارائهشده در
مجموعه مقالات دومین کنفرانس ملی محاسبات نرم1 آذر 1396 · رودسر