David Pardoe

dpardoe@cs.utexas.edu

I completed my Ph.D. in spring 2011 in the Department of Computer Science at UT Austin. My advisor was Peter Stone.

Download my dissertation: PDF PS

Research Summary:

My research focuses on applications of machine learning in multi-agent systems, particularly in e-commerce settings. This research has been motivated by my participation in the Trading Agent Competition, where I have designed winning autonomous agents in both supply chain management and ad auction scenarios. My Ph.D. thesis explores methods by which agents in such settings can adapt to the behavior of other agents, with a particular focus on the use of transfer learning to learn quickly from limited interaction with these agents.

Information on our winning agents in the Trading Agent Competition in the domains of supply chain management and ad auctions can be found here.

Research interests by topic:

agent-based learning (supervised learning, regression, reinforcement learning, transfer learning), multi-agent learning, trading agents, auctions, e-commerce, game theory, mechanism design

Curriculum Vitae

Papers

David Pardoe and Peter Stone. A Particle Filter for Bid Estimation in Ad Auctions with Periodic Ranking Observations. In Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), May 2011. PDF PS
A previous workshop version:
David Pardoe and Peter Stone. A Particle Filter for Bid Estimation in Ad Auctions with Periodic Ranking Observations. In EC 10 Workshop on Trading Agent Design and Analysis (TADA 2010), June 2010. PDF PS
David Pardoe and Peter Stone. Boosting for Regression Transfer. In Proceedings of the 27th International Conference on Machine Learning (ICML 2010), June 2010. PDF PS
Some data sets are available here.
David Pardoe, Doran Chakraborty and Peter Stone. TacTex09: A Champion Bidding Agent for Ad Auctions. In Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), May 2010. PDF PS
An extended version, with additional details on some agent components, is available as a technical report. PDF PS
David Pardoe, Peter Stone, Maytal Saar-Tsechansky, Tayfun Keskin, and Kerem Tomak. Adaptive Auction Mechanism Design and the Incorporation of Prior Knowledge. In Informs Journal on Computing Vol. 22 No. 3, 2010. PDF PS
David Pardoe and Peter Stone. An Autonomous Agent for Supply Chain Management. In Adomavicius and Gupta, editors, Handbooks in Information Systems Series: Business Computing, Emerald Group, 2009. PDF PS
David Pardoe and Peter Stone. The 2007 TAC SCM Prediction Challenge. In AAAI 2008 Workshop on Trading Agent Design and Analysis, July 2008. PDF PS
David Pardoe and Peter Stone. Adapting Price Predictions in TAC SCM. In AAMAS 2007 Workshop on Agent Mediated Electronic Commerce IX, May 2007. PDF PS
David Pardoe, Peter Stone, Maytal Saar-Tsechansky, and Kerem Tomak. Adaptive Mechanism Design: A Metalearning Approach. In The Eighth International Conference on Electronic Commerce, August 2006. PDF PS
A shorter workshop version:
David Pardoe, Peter Stone, Maytal Saar-Tsechansky, and Kerem Tomak. Adaptive Auctions: Learning to Adjust to Bidders. In The Fifteenth Annual Workshop on Information Technologies and Systems, December 2005. PDF PS
David Pardoe and Peter Stone. TacTex-05: A Champion Supply Chain Management Agent. In Proceedings of the Twenty-First National Conference on Artificial Intelligence, July 2006. PDF PS
An extended workshop version:
David Pardoe, Peter Stone, and Mark VanMiddlesworth. TacTex-05: An Adaptive Agent for TAC SCM. In AAMAS 2006 Joint workshop on Trading Agent Design and Analysis & Agent Mediated Electronic Commerce VIII, May 2006. PDF PS
David Pardoe and Peter Stone. Predictive Planning for Supply Chain Management. In Proceedings of the International Conference on Automated Planning and Scheduling, June 2006. PDF PS
David Pardoe, Michael Ryoo, and Risto Miikkulainen. Evolving Neural Network Ensembles for Control Problems. In Proceedings of the Genetic and Evolutionary Computation Conference, June 2005. PDF PS
David Pardoe and Peter Stone. Developing Adaptive Auction Mechanisms. SIGecom Exchanges, 5(3):1–10, Winter 2005. PDF PS
David Pardoe and Peter Stone. Bidding for Customer Orders in TAC SCM. In AAMAS 2004 Workshop on Agent Mediated Electronic Commerce VI: Theories for and Engineering of Distributed Mechanisms and Systems, July 2004. PDF PS
David Pardoe and Peter Stone. TacTex-03: A Supply Chain Management Agent. SIGecom Exchanges: Special Issue on Trading Agent Design and Analysis, 4(3):19–28, Winter 2004. PDF PS
Extended version available as a technical report.
Satinder Singh, Michael L. Littman, Nicholas K. Jong, David Pardoe, and Peter Stone. Learning Predictive State Representations. In Proceedings of the Twentieth International Conference on Machine Learning, August 2003. PDF PS