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AAMAS
2002
Springer
15 years 6 months ago
Relational Reinforcement Learning for Agents in Worlds with Objects
In reinforcement learning, an agent tries to learn a policy, i.e., how to select an action in a given state of the environment, so that it maximizes the total amount of reward it ...
Saso Dzeroski
ETS
2000
IEEE
138views Hardware» more  ETS 2000»
15 years 6 months ago
e-Learning Innovation through the Implementation of an Internet Supported Learning Environment
The paper provides an insight into the changing nature of the learning process through the adoption of interactive new media solutions into a traditional University Campus. The us...
David Smith, Glenn Hardaker
JECR
2000
126views more  JECR 2000»
15 years 6 months ago
Electronic Commerce and Supply Chain Management at ETA Fabriques d'Ebauches SA
Electronic Commerce (EC) and Supply Chain Management (SCM) are fundamental strategic concepts when businesses are forging links with their suppliers and customers. This article an...
Rainer Alt, Elgar Fleisch, Hubert Österle
ACL
2011
14 years 10 months ago
Word Alignment via Submodular Maximization over Matroids
We cast the word alignment problem as maximizing a submodular function under matroid constraints. Our framework is able to express complex interactions between alignment component...
Hui Lin, Jeff Bilmes
IRI
2006
IEEE
16 years 20 days ago
Modeling methodology for component reuse and system integration for hurricane loss projection application
Hurricanes are one of the deadliest and perilous natural calamities on the face of earth having a severe impact both on the lives of the people and economy of a nation. Attempts h...
Kasturi Chatterjee, Khalid Saleem, Na Zhao, Min Ch...