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» Auctions, Evolution, and Multi-agent Learning
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ATAL
2006
Springer
13 years 9 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
ATAL
2004
Springer
13 years 10 months ago
Adaptive Information Infrastructures for the e-Society
Abstract. Positioned at the confluence between human/machine and hardware/software integration and backed by a solid proof of concept realized through several scenarios encompassin...
Mihaela Ulieru
ATAL
2006
Springer
13 years 9 months ago
Evolutionary Optimization of ZIP60: A Controlled Explosion in Hyperspace
The "ZIP" adaptive trading algorithm has been demonstrated to outperform human traders in experimental studies of continuous double auction (CDA) markets. The original Z...
Dave Cliff
ATAL
2010
Springer
13 years 6 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
CORR
2010
Springer
189views Education» more  CORR 2010»
13 years 4 months ago
An Optimal Dynamic Mechanism for Multi-Armed Bandit Processes
We consider the problem of revenue-optimal dynamic mechanism design in settings where agents' types evolve over time as a function of their (both public and private) experien...
Sham M. Kakade, Ilan Lobel, Hamid Nazerzadeh