TY  - JOUR
AU  - Dahmani, Y. 
AU  - Benyettou, A. 
PY  - 2005
TI  - Seek of an Optimal Way by Q-Learning
JF  - Journal of Computer Science
VL  - 1
IS  - 1
DO  - 10.3844/jcssp.2005.28.30
UR  - https://thescipub.com/abstract/jcssp.2005.28.30
AB  - In this article, we presented the Q-Learning training  method which is a derivative of the reinforcement  learning called sometimes training by penalty-reward. We illustrate this by an application to the mobility of a mobile  in an enclosure closed on the basis of a starting point towards an  unspecified arrival point. The objective is to find an optimal  way optimal without leaving the  enclosure.