This report presents a tool developed for the analysis and visualisation of Rolling Horizon Evolutionary Algorithms, featuring a GUI which allows integration within the General Video Game AI Framework. Users are able to easily customize the parameters of the agent between runs and observe an in-depth analysis of its performance through various visual information extracted from gameplay data, live while playing the game. This visualisation aims to inform a deeper analysis into algorithm behaviour, in an attempt to justify why they make the decisions they do and improve their performance based on this knowledge.
URL: https://aaai.org/ocs/index.php/AIIDE/AIIDE18/paper/view/18100
Github: https://github.com/rdgain/VERTIGO
YouTube: https://youtu.be/0t4xWEIvc1M
Cite this work
@inproceedings{gaina2018vertigo, author= {Raluca D. Gaina and Simon M. Lucas and Diego Perez-Liebana}, title= {{VERTIGO: Visualisation of Rolling Horizon Evolutionary Algorithms in GVGAI}}, year= {2018}, booktitle= {{The 14th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment}}, pages= {265--267}, url= {https://aaai.org/ocs/index.php/AIIDE/AIIDE18/paper/view/18100}, abstract= {This report presents a tool developed for the analysis and visualisation of Rolling Horizon Evolutionary Algorithms, featuring a GUI which allows integration within the General Video Game AI Framework. Users are able to easily customize the parameters of the agent between runs and observe an in-depth analysis of its performance through various visual information extracted from gameplay data, live while playing the game. This visualisation aims to inform a deeper analysis into algorithm behaviour, in an attempt to justify why they make the decisions they do and improve their performance based on this knowledge.},
}