LeagueAI: An AI Playing League of Legends using Deep Learning
This demo shows an AI agent playing League of Legends using the LeagueAI framework. The LeagueAI framework uses object detection and other machine learning methods to provide information about the state of the game. The agent uses this information to take actions such as attacking, retreating and pushing the mid lane.
The code is available on Github:
https://github.com/Oleffa/LeagueAI
My paper on automatically generating object detection datasets for video games using domain randomization:
https://arxiv.org/abs/1905.13546
Music provided by Argofox:
Everous & Canonblade - Gleam
https://youtu.be/_u2l-NpYxCI
This demo shows an AI agent playing League of Legends using the LeagueAI framework. The LeagueAI framework uses object detection and other machine learning methods to provide information about the state of the game. The agent uses this information to take actions such as attacking, retreating and pushing the mid lane.
The code is available on Github:
https://github.com/Oleffa/LeagueAI
My paper on automatically generating object detection datasets for video games using domain randomization:
https://arxiv.org/abs/1905.13546
Music provided by Argofox:
Everous & Canonblade – Gleam
https://youtu.be/_u2l-NpYxCI
