Skip to content

Latest commit

 

History

History
20 lines (13 loc) · 932 Bytes

File metadata and controls

20 lines (13 loc) · 932 Bytes

deep-q-learning-3d-continous-action-space

IMPLEMENTATION OF DEEP Q-LEARNING TO THE 3D CONTINOUS ACTION SPACE

This project created during working my master thesis research.

Requirements for working

For windows users:

-Unity 3d game engine
-Unity machine learning library
-Anaconda standart environment with standard environment including tensorflow and tensorflow-gpu etc.

For linux users:

-Unity 3d game engine
-Unity machine learning library
-python with matplot , tensorflow , numpy


Thesis : Library.neu.edu.tr