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ALT
2006
Springer
16 years 28 days ago
Asymptotic Learnability of Reinforcement Problems with Arbitrary Dependence
We address the problem of reinforcement learning in which observations may exhibit an arbitrary form of stochastic dependence on past observations and actions. The task for an age...
Daniil Ryabko, Marcus Hutter
136
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ATAL
2009
Springer
15 years 10 months ago
Generalized model learning for reinforcement learning in factored domains
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Todd Hester, Peter Stone
ECIS
2000
15 years 5 months ago
Work-Based Learning and Knowledge Management: An Integrated Concept of Organizational Learning
Abstract - Organizational learning requires individual learning. Individual learning has to interact in a dynamic social environment in order to contribute to organizational learni...
Sabine Seufert
ICIC
2007
Springer
15 years 10 months ago
Human-Like Learning Methods for a "Conscious" Agent
In most contexts, learning is essential for the long-term autonomy of an agent. We describes here some essential and fundamental learning mechanisms implemented in a cognitive auto...
Usef Faghihi, Daniel Dubois, Mohamed Gaha, Roger N...
LSO
2001
Springer
15 years 8 months ago
CORONET-Train: A Methodology for Web-Based Collaborative Learning in Software Organisations
Skills, knowledge, and motivation of the software engineering workforce are essential prerequisites for maturing software development. But lack of human resources has become an obs...
Dietmar Pfahl, Niniek Angkasaputra, Christiane Dif...