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ATAL
2007
Springer
15 years 4 months ago
Batch reinforcement learning in a complex domain
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
Shivaram Kalyanakrishnan, Peter Stone
WWW
2001
ACM
15 years 10 months ago
An intelligent distributed environment for active learning
Active learning is an e ective learning approach. In this paper, we present an intelligent agent assisted environment for active learning. The system is to better support studentc...
Yi Shang, Hongchi Shi, Su-Shing Chen
ICALT
2005
IEEE
15 years 3 months ago
Designing for Collaboration in Intelligent Computer Assisted Language Learning
We discuss the design of language tools, and explore new approaches for the development of language-learning environments. We take a standpoint in the learning perspective labelle...
Petter Karlström, Teresa Cerratto Pargman, Ro...
ATAL
2007
Springer
15 years 4 months ago
Learning consumer preferences using semantic similarity
In online, dynamic environments, the services requested by consumers may not be readily served by the providers. This requires the service consumers and providers to negotiate the...
Reyhan Aydogan, Pinar Yolum
AAMAS
2004
Springer
14 years 9 months ago
Autonomous Agents that Learn to Better Coordinate
A fundamental difficulty faced by groups of agents that work together is how to efficiently coordinate their efforts. This coordination problem is both ubiquitous and challenging,...
Andrew Garland, Richard Alterman