PENGEMBANGAN KECERDASAN BUATAN PADA GIM PERANG LUAR ANGKASA 2D DENGAN PROXIMAL POLICY OPTIMIZATION (PPO)

SYAFII, MUHAMMAD IDRIS AL ZHUHRI and Abdiansah, Abdiansah and Buchari, Muhammad Ali (2021) PENGEMBANGAN KECERDASAN BUATAN PADA GIM PERANG LUAR ANGKASA 2D DENGAN PROXIMAL POLICY OPTIMIZATION (PPO). Undergraduate thesis, Sriwijaya University.

	Text RAMA_55201_09021381621088.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (4MB) | Request a copy
	Text RAMA_55201_09021381621088_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (7MB) | Request a copy
Preview	Text RAMA_55201_09021381621088_0001108401_0030038808_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (1MB) | Preview
	Text RAMA_55201_09021381621088_0001108401_0030038808_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (305kB) | Request a copy
	Text RAMA_55201_09021381621088_0001108401_0030038808_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (207kB) | Request a copy
	Text RAMA_55201_09021381621088_0001108401_0030038808_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (2MB) | Request a copy
	Text RAMA_55201_09021381621088_0001108401_0030038808_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (724kB) | Request a copy
Preview	Text RAMA_55201_09021381621088_0001108401_0030038808_06.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (89kB) | Preview
	Text RAMA_55201_09021381621088_0001108401_0030038808_07_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (130kB) | Request a copy
	Text RAMA_55201_09021381621088_0001108401_0030038808_08_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (195kB) | Request a copy

Abstract

The game is one of the recreational media that is the choice of the community. One of the factors that determine a fun game is the artificial intelligence that players play against. In this study, artificial intelligence was developed using the Proximal Policy Optimization (PPO) method which will control one of the game characters. Agents trained with this PPO method managed to win all rounds against AI levels 1 to 3, 22 of 30 rounds against AI level 4 and 16 of 30 rounds against AI level 5. In addition, PPO agents received positive receptions from players with a mean of 3.74 on a scale of 1 to 5 when asked if players like playing against PPO agents.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Gim, Kecerdasan Buatan, Proximal Policy Optimization, Gim 2D
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Muhammad Idris Al Zhuhri Syafii
Date Deposited:	30 Mar 2022 08:08
Last Modified:	30 Mar 2022 08:08
URI:	http://repository.unsri.ac.id/id/eprint/67550

Actions (login required)

View Item