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» Interacting Abstract State Machines
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ECML
2006
Springer
15 years 1 months ago
Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
Sébastien Jodogne, Cyril Briquet, Justus H....
ICML
1999
IEEE
15 years 10 months ago
Implicit Imitation in Multiagent Reinforcement Learning
Imitation is actively being studied as an effective means of learning in multi-agent environments. It allows an agent to learn how to act well (perhaps optimally) by passively obs...
Bob Price, Craig Boutilier
ICALT
2006
IEEE
15 years 3 months ago
Analyzing Student Activity in Computer Assisted Language Learning
We study the use of a computer application, intended for Computer Assisted Language Learning (CALL). We present an analytical framework for CALL, consisting of technology, interac...
Petter Karlström, Teresa Cerratto Pargman
IJACTAICIT
2010
192views more  IJACTAICIT 2010»
14 years 7 months ago
Service Level Security using Expected Clandestine Figure for Corroboration of Web Service Consumer
In the e-age, internet and e-affairs are the composite blend of business process and technology; the organization must retain the state of computing system or risk malicious assau...
M. S. Saleem Basha
ECTEL
2010
Springer
14 years 11 months ago
Content, Social, and Metacognitive Statements: An Empirical Study Comparing Human-Human and Human-Computer Tutorial Dialogue
Abstract. We present a study which compares human-human computermediated tutoring with two computer tutoring systems based on the same materials but differing in the type of feedba...
Myroslava Dzikovska, Natalie B. Steinhauser, Johan...