AI Soldier using Reinforcement Learning


Authors : Simran Bhojwani, Sagar Ganiga, Harsh Jain, Shravan Jain, Riya Karia, Nausheen Sayed, Jayashree Hajgude.

Volume/Issue : Volume 4 - 2019, Issue 4 - April

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://bit.ly/2QTbjdB

This paper describes the implementation of Reinforcement Learning algorithms on FPS Games by applying AI Agents. The steps undertaken to build an FPS Game using various game engines and reinforcement learning are outlined. The game consists of player AI and opponent AI competing with each other in which the goal is to kill the opponent. The algorithm has been tested on different maps of vizDoom Opensource Library.

Keywords : Reinforcement Learning, FPS Game, ViZDoom, Unity ML Agents, A2C, Q-Learning.

CALL FOR PAPERS


Paper Submission Last Date
31 - March - 2024

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe