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» Mobile learning: A framework and evaluation
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ATAL
2004
Springer
14 years 2 months ago
Best-Response Multiagent Learning in Non-Stationary Environments
This paper investigates a relatively new direction in Multiagent Reinforcement Learning. Most multiagent learning techniques focus on Nash equilibria as elements of both the learn...
Michael Weinberg, Jeffrey S. Rosenschein
IJCAI
1989
13 years 10 months ago
Coping With Uncertainty in Map Learning
In many applications in mobile robotics, it is important for a robot to explore its environment in order to construct a representation of space useful for guiding movement. We refe...
Kenneth Basye, Thomas Dean, Jeffrey Scott Vitter
ITS
1998
Springer
139views Multimedia» more  ITS 1998»
14 years 1 months ago
Habitable 3D Learning Environments for Situated Learning
The growing emphasis on learner-centered education focuses on intrinsically motivated learning via engaging problem-solving activities. Habitable 3D learning environments, in which...
William H. Bares, Luke S. Zettlemoyer, James C. Le...
FLAIRS
2006
13 years 10 months ago
Dialog Learning in Conversational CBR
Conversational Case-Based Reasoning (CCBR) provides a mixed-initiative dialog for guiding users to refine their problem descriptions incrementally through a question-answering seq...
Mingyang Gu, Agnar Aamodt
NIPS
2004
13 years 10 months ago
Learning Preferences for Multiclass Problems
Many interesting multiclass problems can be cast in the general framework of label ranking defined on a given set of classes. The evaluation for such a ranking is generally given ...
Fabio Aiolli, Alessandro Sperduti