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GECCO
2006
Springer
198views Optimization» more  GECCO 2006»
15 years 4 months ago
Reward allotment in an event-driven hybrid learning classifier system for online soccer games
This paper describes our study into the concept of using rewards in a classifier system applied to the acquisition of decision-making algorithms for agents in a soccer game. Our a...
Yuji Sato, Yosuke Akatsuka, Takenori Nishizono
AAMAS
2011
Springer
14 years 7 months ago
Benchmarking hybrid algorithms for distributed constraint optimisation games
In this paper, we consider algorithms for distributed constraint optimisation problems (DCOPs). Using a potential game characterisation of DCOPs, we decompose six distributed DCOP...
Archie C. Chapman, Alex Rogers, Nicholas R. Jennin...
CDC
2010
IEEE
141views Control Systems» more  CDC 2010»
14 years 7 months ago
Using computer games for hybrid systems controller synthesis
Abstract-- We propose a formal method for feedback controller synthesis using interactive computer programs with graphical interface (in short, computer games). The main theoretica...
A. Agung Julius, Sina Afshari
IJCAI
2007
15 years 1 months ago
Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL
The goal of transfer learning is to use the knowledge acquired in a set of source tasks to improve performance in a related but previously unseen target task. In this paper, we pr...
Manu Sharma, Michael P. Holmes, Juan Carlos Santam...
AMMA
2009
Springer
15 years 7 months ago
Turing Trade: A Hybrid of a Turing Test and a Prediction Market
Abstract. We present Turing Trade, a web-based game that is a hybrid of a Turing test and a prediction market. In this game, there is a mystery conversation partner, the “target,...
Joseph Farfel, Vincent Conitzer