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» Autonomous transfer for reinforcement learning
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IAT
2010
IEEE
14 years 7 months ago
Selecting Operator Queries Using Expected Myopic Gain
When its human operator cannot continuously supervise (much less teleoperate) an agent, the agent should be able to recognize its limitations and ask for help when it risks making...
Robert Cohn, Michael Maxim, Edmund H. Durfee, Sati...
ITICSE
2004
ACM
15 years 2 months ago
Use of large databases for group projects at the nexus of teaching and research
Final year, group (capstone) projects in computing disciplines are often expected to fill multiple roles: in addition to allowing students to learn important domain-specific knowl...
Richard C. Thomas, Rebecca Mancy
EWSN
2010
Springer
15 years 23 days ago
An Adaptive Strategy for Energy-Efficient Data Collection in Sparse Wireless Sensor Networks
Sparse wireless sensor networks (WSNs) are being effectively used in several applications, which include transportation, urban safety, environment monitoring, and many others. Sens...
Mario Di Francesco, Kunal Shah, Mohan Kumar, Giuse...
JCAL
1998
94views more  JCAL 1998»
14 years 9 months ago
Design issues of a distance learning course on Business on the Internet
The paper presents the main design issues of a distance learning course on Business on the Internet. The instructional design is based on a learner centered instructional stratedy...
Krassen Stefanov, Svetoslav Stoyanov, Roumen Nikol...
97
Voted
ENTER
2008
Springer
14 years 11 months ago
Adaptive Recommender Systems for Travel Planning
Conversational recommender systems have been introduced in Travel and Tourism applications in order to support interactive dialogues which assist users in acquiring their goals, e...
Tariq Mahmood, Francesco Ricci, Adriano Venturini,...