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TacTex09: A Champion Bidding Agent for Ad Auctions.
David Pardoe,
Doran Chakraborty, and Peter
Stone.
In Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010),
May 2010.
[PDF]564.3kB [postscript]1.0MB
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.
@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. },
}
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