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@InProceedings{AAMAS10-pardoe,
  author="David Pardoe and Doran Chakraborty and Peter Stone",
  title="TacTex09: A Champion Bidding Agent for Ad Auctions",
  booktitle="Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010)",
  month="May",
  year="2010",
  abstract={
	In the Trading Agent Competition Ad Auctions Game, agents compete to
	sell products by bidding to have their ads shown in a search engine's
	sponsored search results. We report on the winning agent from the first
	(2009) competition, TacTex. TacTex operates by estimating the full game
	state from limited information, using these estimates to make
	predictions, and then optimizing its actions (daily bids, ads, and
	spending limits) with respect to these predictions. We present a full
	description of TacTex along with analysis of its performance in both the
	competition and controlled experiments.  },
}