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» Learning Bounds for Domain Adaptation
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126
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KES
2004
Springer
15 years 9 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
132
Voted
ICRA
2009
IEEE
179views Robotics» more  ICRA 2009»
15 years 10 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
117
Voted
ICWL
2010
Springer
15 years 1 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
131
Voted
EUROCOLT
1995
Springer
15 years 7 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
110
Voted
IUI
2000
ACM
15 years 7 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...