Class
Article
College
College of Science
Department
Computer Science Department
Faculty Mentor
Mario Harper
Presentation Type
Poster Presentation
Abstract
This research discusses the performance of artificial intelligence in completing tasks within a complex, simulated environment. The research provides an introduction into reinforcement learning and how these methods were used to train simulated vehicular agents in the video game Rocket League to perform tasks relating to common in-game objectives. Results are evaluated to consider how the agents performed and what can be learned from the results. The conclusions drawn show the bot is able to effectively complete the given tasks and shows promise for completing more difficult tasks within complex environments. Presentation Time: Thursday, 1-2 p.m. Zoom link: https://usu-edu.zoom.us/j/87293114488?pwd=QmxrWlM0TnB1RWdPbnkvRE9WZEZIZz09
Location
Logan, UT
Start Date
4-12-2021 12:00 AM
Included in
An Exploration of Reinforcement Learning in Complex Environments
Logan, UT
This research discusses the performance of artificial intelligence in completing tasks within a complex, simulated environment. The research provides an introduction into reinforcement learning and how these methods were used to train simulated vehicular agents in the video game Rocket League to perform tasks relating to common in-game objectives. Results are evaluated to consider how the agents performed and what can be learned from the results. The conclusions drawn show the bot is able to effectively complete the given tasks and shows promise for completing more difficult tasks within complex environments. Presentation Time: Thursday, 1-2 p.m. Zoom link: https://usu-edu.zoom.us/j/87293114488?pwd=QmxrWlM0TnB1RWdPbnkvRE9WZEZIZz09