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» Learning Bounds for Domain Adaptation
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104
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KES
2004
Springer
15 years 5 months ago
Coordination in Multiagent Reinforcement Learning Systems
This paper presents a novel method for on-line coordination in multiagent reinforcement learning systems. In this method a reinforcement-learning agent learns to select its action ...
M. A. S. Kamal, Junichi Murata
ICRA
2009
IEEE
179views Robotics» more  ICRA 2009»
15 years 7 months ago
Automatic weight learning for multiple data sources when learning from demonstration
— Traditional approaches to programming robots are generally inaccessible to non-robotics-experts. A promising exception is the Learning from Demonstration paradigm. Here a polic...
Brenna Argall, Brett Browning, Manuela M. Veloso
91
Voted
ICWL
2010
Springer
14 years 10 months ago
Not Yet Ready for Everyone: An Experience Report about a Personal Learning Environment for Language Learning
A Personal Learning Environment (PLE) is a mash-up of learning services. It enables students and teachers to assemble a work environment that is adapted to a domain and specific in...
Carsten Ullrich, Ruimin Shen, Denis Gillet
EUROCOLT
1995
Springer
15 years 4 months ago
A decision-theoretic generalization of on-line learning and an application to boosting
k. The model we study can be interpreted as a broad, abstract extension of the well-studied on-line prediction model to a general decision-theoretic setting. We show that the multi...
Yoav Freund, Robert E. Schapire
86
Voted
IUI
2000
ACM
15 years 4 months ago
Creating an empirical basis for adaptation decisions
CT How can an adaptive intelligent interface decide what particular action to perform in a given situation, as a function of perceived properties of the user and the situation? Ide...
Anthony Jameson, Barbara Großmann-Hutter, Le...