Learning multi-agent competitive games with reinforcement learning

• Main Author: Neo, Yong Tai
• Other Authors: Lana Obraztsova
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/157264
• Institution: Nanyang Technological University

Reinforcement Learning has been applied and has had promising results in various fields. For example, in the field of games which includes AI learning different on the board games, to video games like Starcraft and Dota. All of these examples involves the training of multi agents that either coop...