RoxyBot-06: An (SAA)2 TAC Travel Agent
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 1378-1382.
Abstract
In this paper, we describe our entrant in the travel division of the 2006 Trading Agent Competition (TAC). At a high level, the design of many successful autonomous trading agents can be summarized as follows: (i)~price prediction: build a model of market prices; and (ii)~optimization: solve for an approximately optimal set of bids, given this model. To predict, we simulate simultaneous ascending auctions. To optimize, we apply the sample average approximation method. Both of these procedures might naturally be abbreviated SAA; hence the title of this paper. Our agent dominated the preliminary and seeding rounds of TAC Travel in 2006, and emerged as champion in the finals in a photo finish.
@inproceedings{ijcai2007p222,
title = {RoxyBot-06: An (SAA)2 TAC Travel Agent},
author = {Lee, Seong Jae and Greenwald, Amy and Naroditskiy, Victor},
booktitle = {Proceedings of the Twentieth International Joint Conference on
Artificial Intelligence, {IJCAI-07}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ramon López de Mántaras},
pages = {1378--1382},
year = {2007},
url = {https://ijcai.org/proceedings/2007/222},
}
TY - CPAPER TI - RoxyBot-06: An (SAA)2 TAC Travel Agent AU - Lee, Seong Jae AU - Greenwald, Amy AU - Naroditskiy, Victor T2 - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 PB - International Joint Conferences on Artificial Intelligence PY - 2007 SP - 1378 EP - 1382 UR - https://ijcai.org/proceedings/2007/222 ER -Copied
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