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» Learning and Applying Competitive Strategies
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113
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IJCAI
2007
15 years 2 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...
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 6 months ago
Learned mutation strategies in genetic programming for evolution and adaptation of simulated snakebot
In this work we propose an approach of incorporating learned mutation strategies (LMS) in genetic programming (GP) employed for evolution and adaptation of locomotion gaits of sim...
Ivan Tanev
105
Voted
AI
2006
Springer
15 years 4 months ago
Language Patterns in the Learning of Strategies from Negotiation Texts
The paper shows how to construct language patterns that signal influence strategies and tactical moves corresponding to such strategies. We apply corpus analysis methods to the ext...
Marina Sokolova, Stan Szpakowicz
110
Voted
JDCTA
2010
160views more  JDCTA 2010»
14 years 7 months ago
Learning and Decision Making in Human During a Game of Matching Pennies
To gain insights into the neural basis of such adaptive decision-making processes, we investigated the nature of learning process in humans playing a competitive game with binary ...
Jianfeng Hu, Xiaofeng Li, Jinghai Yin
87
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MANSCI
2007
107views more  MANSCI 2007»
15 years 13 days ago
Biform Games
Both noncooperative and cooperative game theory have been applied to business strategy. We propose a hybrid noncooperative-cooperative game model, which we call a biform game. Thi...
Adam Brandenburger, Harborne Stuart