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» Learning Algorithms for Domain Adaptation
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ICML
2008
IEEE
16 years 3 months ago
An object-oriented representation for efficient reinforcement learning
Rich representations in reinforcement learning have been studied for the purpose of enabling generalization and making learning feasible in large state spaces. We introduce Object...
Carlos Diuk, Andre Cohen, Michael L. Littman
ATAL
2008
Springer
15 years 5 months ago
Emerging coordination in infinite team Markov games
In this paper we address the problem of coordination in multi-agent sequential decision problems with infinite statespaces. We adopt a game theoretic formalism to describe the int...
Francisco S. Melo, M. Isabel Ribeiro
MOBISYS
2006
ACM
16 years 2 months ago
Context-aware interactive content adaptation
Automatic adaptation of content for mobile devices is a challenging problem because optimal adaptation often depends on the usage semantics of content, as well as the context of u...
Iqbal Mohomed, Jim Chengming Cai, Sina Chavoshi, E...
EWCBR
2008
Springer
15 years 4 months ago
ColibriCook: A CBR System for Ontology-Based Recipe Retrieval and Adaptation
In this paper we present ColibriCook: a CBR system for ontology-based cooking recipe retrieval and adaptation. The system's purpose is to participate in the 1st Computer Cooki...
Juan DeMiguel, Laura Plaza, Belén Dí...
AIPRF
2007
15 years 4 months ago
Adaptive Novice Supporter
In this paper, we implemented very simple plan generator which can help the novice researchers do their research efficiently. We have assumed that we should not make domain expert...
Sung-Pil Choi, Ho-Jin Choi, Sung-Hyon Myaeng