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» Learning with Continuous Experts Using Drifting Games
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CEC
2007
IEEE
14 years 18 days ago
Static experts and dynamic enemies in coevolutionary games
Abstract— The usage of memory in coevolutionary systems offers a wide range of research possibilities, especially when evolving computationally intelligent computer players for g...
Phillipa M. Avery, Zbigniew Michalewicz
FPLAY
2008
13 years 7 months ago
Intelligent adaptation of digital game-based learning
Games for learning cannot take the same design approach as games when targeting audiences. While players of entertainment games have the luxury of choosing games that suit them, s...
Brian Magerko, Carrie Heeter, Joe Fitzgerald, Ben ...
DIGRA
2005
Springer
13 years 11 months ago
Learning Games as a Platform for Simulated Science Practice
In recent years, science education has been the focus of study and development of new gamebased learning environments. It has been argued that active and critical learning about r...
Rikke Magnussen
ALT
2005
Springer
14 years 3 months ago
Defensive Universal Learning with Experts
This paper shows how universal learning can be achieved with expert advice. To this aim, we specify an experts algorithm with the following characteristics: (a) it uses only feedba...
Jan Poland, Marcus Hutter
IJCAI
2007
13 years 7 months ago
An Experts Algorithm for Transfer Learning
A long-lived agent continually faces new tasks in its environment. Such an agent may be able to use knowledge learned in solving earlier tasks to produce candidate policies for it...
Erik Talvitie, Satinder Singh