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ACMACE
2006
ACM
16 years 19 days ago
Motivated reinforcement learning for non-player characters in persistent computer game worlds
Massively multiplayer online computer games are played in complex, persistent virtual worlds. Over time, the landscape of these worlds evolves and changes as players create and pe...
Kathryn Elizabeth Merrick, Mary Lou Maher
177
Voted
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
16 years 5 days ago
Event-driven learning classifier systems for online soccer games
This paper reports on the application of classifier systems to the acquisition of decision-making algorithms for agents in online soccer games. The objective of this research is t...
Yuji Sato, Ryutaro Kanno
HICSS
2003
IEEE
90views Biometrics» more  HICSS 2003»
15 years 12 months ago
Supporting JIGSAW-Type Collaborative Learning
JIGSAW is a well-known technique for collaborative learning. Students typically use it in a face-to-face setting without computer support. This paper describes a Webbased tool for...
Tania Gallardo, Luis A. Guerrero, César A. ...
APSEC
2004
IEEE
15 years 10 months ago
Modeling the Impact of a Learning Phase on the Business Value of a Pair Programming Project
Pair programmers need a "warmup phase" before the pair can work at full speed. The length of the learning interval varies, depending on how experienced the developers are...
Frank Padberg, Matthias M. Müller
ATAL
2006
Springer
15 years 10 months ago
Learning the required number of agents for complex tasks
Coordinating agents in a complex environment is a hard problem, but it can become even harder when certain characteristics of the tasks, like the required number of agents, are un...
Sébastien Paquet, Brahim Chaib-draa