Auctions
Auctions comprise a broad class of market mechanisms in which agents buy and sell goods and services from one another. Auction theory is an active area of inquiry and is the basis for many autonomous trading agent strategies.
People
Peter Stone Faculty pstone [at] cs utexas edu
Publications
     [Expand to show all 15][Minimize]
Autonomous Trading in Modern Electricity Markets 2015
Daniel Urieli, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin. Code and binaries available at: http://www.cs.utexas.edu/~urieli/thesis.
A Particle Filter for Bid Estimation in Ad Auctions with Periodic Ranking Observations 2011
David Pardoe and Peter Stone, In Proc. of 10th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2011), May 2011.
Adaptive Trading Agent Strategies Using Market Experience 2011
David Merrill Pardoe, No other information
A Particle Filter for Bid Estimation in Ad Auctions with Periodic Ranking Observations 2010
David Pardoe and Peter Stone, In EC 2010 Workshop on Trading Agent Design and Analysis (TADA), Cambridge, Massachusetts 2010.
Adaptive Auction Mechanism Design and the Incorporation of Prior Knowledge 2010
David Pardoe, Peter Stone, Maytal Saar-Tsechansky, Tayfun Keskin, and Kerem Tomak, Informs Journal on Computing, Vol. 22, 3 (2010), pp. 353-370.
TacTex09: A Champion Bidding Agent for Ad Auctions 2010
David Pardoe, Doran Chakraborty, and Peter Stone, In Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), May 2010.
The First International Trading Agent Competition: Autonomous Bidding Agents 2005
Peter Stone and Amy Greenwald, Electronic Commerce Research, Vol. 5, 2 (2005), pp. 229-65.
Decision-Theoretic Bidding Based on Learned Density Models in Simultaneous, Interacting Auctions 2003
Peter Stone, Robert E. Schapire, Michael L. Littman, J'anos A. Csirik, and David McAllester, Journal of Artificial Intelligence Research, Vol. 19 (2003), pp. 209-242.
Multiagent Competitions and Research: Lessons from RoboCup and TAC 2003
Peter Stone, In RoboCup-2002: Robot Soccer World Cup VI, Gal A. Kaminka and Pedro U. Lima and Raul Rojas (Eds.), Vol. 2752, pp. 224-237, Berlin 2003. Springer Verlag.
The 2001 Trading Agent Competition 2003
Michael P. Wellman, Amy Greenwald, Peter Stone, and Peter R. Wurman, Electronic Markets, Vol. 13, 1 (2003), pp. 4-12.
Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation 2002
Robert E. Schapire, Peter Stone, David McAllester, Michael L. Littman, and J'anos A. Csirik, In Proceedings of the Nineteenth International Conference on Machine Learning 2002.
Self-enforcing Strategic Demand Reduction 2002
Paul S. A. Reitsma, Peter Stone, J'anos A. Csirik, and Michael L. Littman, In Agent Mediated Electronic Commerce IV: Designing Mechanisms and Systems, Vol. 2531, pp. 289-306 2002. Springer Verlag.
ATTac-2000: An Adaptive Autonomous Bidding Agent 2001
Peter Stone, Michael L. Littman, Satinder Singh, and Michael Kearns, Journal of Artificial Intelligence Research, Vol. 15 (2001), pp. 189-206.
Autonomous Bidding Agents in the Trading Agent Competition 2001
Amy Greenwald and Peter Stone, IEEE Internet Computing, Vol. 5, 2 (2001), pp. 52-60.
FAucS: An FCC Spectrum Auction Simulator for Autonomous Bidding Agents 2001
J'anos A. Csirik, Michael L. Littman, Satinder Singh, and Peter Stone, In Electronic Commerce: Proceedings of the Second International Workshop, Ludger Fiege and Gero Mühl and Uwe Wilhelm (Eds.), pp. 139-151, Heidelberg, Germany 2001. Springer Verlag.
Labs
Learning Agents