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97
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ATAL
2006
Springer
15 years 4 months ago
A novel method for automatic strategy acquisition in N-player non-zero-sum games
We present a novel method for automatically acquiring strategies for the double auction by combining evolutionary optimization together with a principled game-theoretic analysis. ...
Steve Phelps, Marek Marcinkiewicz, Simon Parsons
78
Voted
AAAI
2008
15 years 3 months ago
Efficient Learning of Action Schemas and Web-Service Descriptions
This work addresses the problem of efficiently learning action schemas using a bounded number of samples (interactions with the environment). We consider schemas in two languages-...
Thomas J. Walsh, Michael L. Littman
88
Voted
ATAL
2008
Springer
15 years 2 months ago
Characterizing effective auction mechanisms: insights from the 2007 TAC market design competition
This paper analyzes the entrants to the 2007 TAC Market Design competition. It presents a classification of the entries to the competition, and uses this classification to compare...
Jinzhong Niu, Kai Cai, Simon Parsons, Enrico Gerdi...
115
Voted
AOIS
2004
15 years 2 months ago
A Systematic Approach for Including Machine Learning in Multi-agent Systems
Large scale multi-agent systems (MASs) in unpredictable environments must use machine learning techniques to perform their goals and improve the performance of the system. This pap...
José Alberto R. P. Sardinha, Alessandro F. ...
101
Voted
UAI
2000
15 years 2 months ago
Nash Convergence of Gradient Dynamics in General-Sum Games
Multi-agent games are becoming an increasingly prevalent formalism for the study of electronic commerceand auctions. The speed at which transactions can take place and the growing...
Satinder P. Singh, Michael J. Kearns, Yishay Manso...