Trading Agents
The Learning Agents Research Group has participated actively in the annual Trading Agent Competitions (TAC). In this multiagent application, the agents bid for goods and services in simulated marketplaces.
Subareas:
Peter Stone Faculty pstone [at] cs utexas edu
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An MDP-Based Winning Approach to Autonomous Power Trading: Formalization and Empirical Analysis 2016
Daniel Urieli and Peter Stone, In Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2016.
Autonomous Electricity Trading using Time-Of-Use Tariffs in a Competitive Market 2016
Daniel Urieli and Peter Stone, In Proceedings of the 30th Conference on Artificial Intelligence (AAAI 2016), Phoenix, AZ, USA, February 2016.
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.
TacTex'13: A Champion Adaptive Power Trading Agent 2014
Daniel Urieli and Peter Stone, In Proceedings of the Twenty-Eighth Conference on Artificial Intelligence (AAAI 2014), July 2014.
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 2007 TAC SCM Prediction Challenge 2008
David Pardoe and Peter Stone, In AAAI 2008 Workshop on Trading Agent Design and Analysis 2008.
Designing Safe, Profitable Automated Stock Trading Agents Using Evolutionary Algorithms 2006
Harish Subramanian, Subramanian Ramamoorthy, Peter Stone, and Benjamin Kuipers, In Proceedings of the Genetic and Evolutionary Computation Conference, July 2006.
Three Automated Stock-Trading Agents: A Comparative Study 2005
Alexander Sherstov and Peter Stone, In Agent Mediated Electronic Commerce VI: Theories for and Engineering of Distributed Mechanisms and Systems (AMEC 2004), P. Faratin and J.A. Rodriguez-Aguilar (Eds.), Vol. 3435, pp. 173-187, ...
Two Stock-Trading Agents: Market Making and Technical Analysis 2004
Yi Feng, Ronggang Yu, and Peter Stone, In Agent Mediated Electronic Commerce V: Designing Mechanisms and Systems, Peyman Faratin and David C. Parkes and Juan A. Rodriguez-Aguilar and William E. Walsh (Eds.), Vol. 3048, pp. 18-36 200...
Guest Editors' Introduction: Agents and Markets 2003
Amy Greenwald, Nicholas R. Jennings, and Peter Stone, IEEE Intelligent Systems, Vol. 18, 6 (2003), pp. 12-14.
Performance Analysis of a Counter-intuitive Automated Stock-Trading Strategy 2003
Ronggang Yu and Peter Stone, In Proceedings of the Fifth International Conference on Electronic Commerce, Pittsburgh, PA, October 2003.