@inproceedings{02b32e836066409687b6b71e4be3dedb,
title = "A hybrid search agent in pommerman",
abstract = "In this paper, we explore the possibility of search-based agents in games with resource-intensive forward models. We implemented a player agent in the Pommerman framework and put it against the baseline agent to measure its performance. We implemented a heuristic agent and improved it by enabling depth-limited tree search in specific gameplay moments. We also compared different node selection methods during depth-limited tree search. Our result shows that depth-limited tree search is still viable when presented with inefficient forward models and exploitation-driven selection method is the most efficient in this specific domain.",
keywords = "Monte carlo methods, Pommerman, State machines, Tree search",
author = "Hongwei Zhou and Yichen Gong and Luvneesh Mugrai and Ahmed Khalifa and Andy Nealen and Julian Togelius",
note = "Publisher Copyright: {\textcopyright} 2018 Authors.; 13th International Conference on the Foundations of Digital Games, FDG 2018 ; Conference date: 07-08-2018 Through 10-08-2018",
year = "2018",
month = aug,
day = "7",
doi = "10.1145/3235765.3235812",
language = "English (US)",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
editor = "Sebastian Deterding and Mitu Khandaker and Sebastian Risi and Jose Font and Steve Dahlskog and Christoph Salge and Olsson, {Carl Magnus}",
booktitle = "Proceedings of the 13th International Conference on the Foundations of Digital Games, FDG 2018",
}