Temporal Action-Graph Games: A New Representation for Dynamic Games
Abstract
In this paper we introduce temporal action graph games (TAGGs), a novel graphical representation of imperfect-information extensive form games. We show that when a game involves anonymity or context-specific utility independencies, its encoding as a TAGG can be much more compact than its direct encoding as a multiagent influence diagram (MAID). We also show that TAGGs can be understood as indirect MAID encodings in which many deterministic chance nodes are introduced. We provide an algorithm for computing with TAGGs, and show both theoretically and empirically that our approach improves significantly on the previous state of the art.
Cite
Text
Jiang et al. "Temporal Action-Graph Games: A New Representation for Dynamic Games." Conference on Uncertainty in Artificial Intelligence, 2009.Markdown
[Jiang et al. "Temporal Action-Graph Games: A New Representation for Dynamic Games." Conference on Uncertainty in Artificial Intelligence, 2009.](https://mlanthology.org/uai/2009/jiang2009uai-temporal/)BibTeX
@inproceedings{jiang2009uai-temporal,
title = {{Temporal Action-Graph Games: A New Representation for Dynamic Games}},
author = {Jiang, Albert Xin and Leyton-Brown, Kevin and Pfeffer, Avi},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {2009},
pages = {268-276},
url = {https://mlanthology.org/uai/2009/jiang2009uai-temporal/}
}