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» Learning Models of Intelligent Agents
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159
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HIS
2004
15 years 4 months ago
Reinforcement Learning Hierarchical Neuro-Fuzzy Politree Model for Control of Autonomous Agents
: This work presents a new hybrid neuro-fuzzy model for automatic learning of actions taken by agents. The main objective of this new model is to provide an agent with intelligence...
Karla Figueiredo, Marley B. R. Vellasco, Marco Aur...
106
Voted
LORI
2009
Springer
15 years 9 months ago
Can Doxastic Agents Learn? On the Temporal Structure of Learning
Cédric Dégremont, Nina Gierasimczuk
134
Voted
ATAL
2010
Springer
15 years 2 months ago
PAC-MDP learning with knowledge-based admissible models
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
Marek Grzes, Daniel Kudenko
122
Voted
IAT
2009
IEEE
15 years 9 months ago
Agent-Based Security System for User Verification
—We present a security system consisting of an arbitrary number of entries, sensors and agents. The intelligent integrated system is based on user modeling, i.e. models of their ...
Erik Dovgan, Bostjan Kaluza, Tea Tusar, Matjaz Gam...
106
Voted
IAT
2008
IEEE
15 years 9 months ago
Competency-Based Intelligent Curriculum Sequencing: Comparing Two Evolutionary Approaches
The process of creating e-learning contents using reusable learning objects (LOs) can be broken down in two sub-processes: LOs finding and LO sequencing. Although semiautomatic to...
Luis de Marcos, Roberto Barchino, José-Javi...