paulobruno / Paper-2021-SBGames

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Assessing the Robustness of Deep Q-Network Agents to Changes on Game Object Textures

Conference: Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)

Workflow

[Page] [PDF]

Trained Models

You can find the four trained agents in this folder.
To load a model, extract the files then use the Keras command load_model.

Cite this paper

BibTex

@InProceedings{serafim2021assessing,
  title = {Assessing the Robustness of Deep Q-Network Agents to Changes on Game Object Textures},
  author  = {Serafim, Paulo Bruno Sousa and Nogueira, Yuri Lenon Barbosa and Cavalcante-Neto, Joaquim Bento and Vidal, Creto Augusto},
  booktitle = {Proceedings of the XX Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)},
  pages = {1--9},
  year = {2021}
}

About


Languages

Language:Python 78.1%Language:Shell 21.9%