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» Mobile learning: A framework and evaluation
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ATAL
2004
Springer
15 years 10 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
15 years 6 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
159
Voted
ITS
1998
Springer
139views Multimedia» more  ITS 1998»
15 years 9 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
15 years 6 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
15 years 6 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