Sigma Xi Poster Competition
Training an artificial agent to play a first person shooter game
Academic Level at Time of Presentation
Senior
Major
Engineering Physics
Minor
Computer Science
2nd Student Academic Level at Time of Presentation
Senior
2nd Student Major
Engineering Physics
List all Project Mentors & Advisor(s)
Dr. James Hereford
Presentation Format
Poster Presentation
Abstract/Description
Video games are rich and challenging domains and have been used extensively for evaluating Artificial Intelligent algorithms. In this research we use Reinforcement Learning (RL) to train an Artificial Intelligence agent to play the first person shooter game VizDoom. The agent we trained to play VizDoom used images from the game at multiple frames per second as its input and then decided an action such as move left, move right, shoot, etc. We utilized the techniques of curriculum learning and reward shaping to improve the training process and achieve better results in the game.
Spring Scholars Week 2023 Event
Sigma Xi Poster Competition
Training an artificial agent to play a first person shooter game
Video games are rich and challenging domains and have been used extensively for evaluating Artificial Intelligent algorithms. In this research we use Reinforcement Learning (RL) to train an Artificial Intelligence agent to play the first person shooter game VizDoom. The agent we trained to play VizDoom used images from the game at multiple frames per second as its input and then decided an action such as move left, move right, shoot, etc. We utilized the techniques of curriculum learning and reward shaping to improve the training process and achieve better results in the game.