schliffen / SRFofSBDDQN

Implementation of Setting Reward Function of Sensor Based DDQN Model article.

SRFofSBDDQN

Implementation of Setting Reward Function of Sensor Based DDQN Model (SRFofSBDDQN) article.

Environment

Environment created with Pygame module. It has 5 discrete actions. It has 2 different rewarding. Main purpose of the environment is passing 100 objects/obstacles which are created with random size and positions.

Action Space

Ind	Act
0	Throttle
1	Brake
2	Left
3	Right
4	Nothing

Model Training and Testing

Model created in gNet which created in pure Python based on NumPy.

@research article { 
    ejosat1008702, 
    journal = {Avrupa Bilim ve Teknoloji Dergisi}, 
    issn = {}, 
    eissn = {2148-2683}, 
    address = {}, 
    publisher = {Osman SAĞDIÇ}, 
    year = {2021}, 
    volume = {}, 
    pages = {539 - 544}, 
    doi = {10.31590/ejosat.1008702}, 
    title = {Setting Reward Function of Sensor Based DDQN Model}, 
    key = {cite}, 
    author = {Kabataş, Mehmet Gökçay and İlhan Omurca, Sevinç} }