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MICAI
2004
Springer
15 years 7 months ago
A Biologically Motivated and Computationally Efficient Natural Language Processor
Abstract. Conventional artificial neural network models lack many physiological properties of the neuron. Current learning algorithms are more concerned to computational performanc...
João Luís Garcia Rosa
ICALT
2006
IEEE
15 years 7 months ago
CPM: A UML Profile to Design Cooperative PBL Situations at Didactical Level
In this paper, we present our research results about a UML-based modeling language dedicated to Problem-Based Learning design. The CPM (Cooperative Problem-Based learning Metamode...
Thierry Nodenot, Pierre Laforcade
ICTAI
2003
IEEE
15 years 7 months ago
Q-Concept-Learning: Generalization with Concept Lattice Representation in Reinforcement Learning
One of the very interesting properties of Reinforcement Learning algorithms is that they allow learning without prior knowledge of the environment. However, when the agents use al...
Marc Ricordeau
109
Voted
ATAL
2004
Springer
15 years 7 months ago
Best-Response Multiagent Learning in Non-Stationary Environments
This paper investigates a relatively new direction in Multiagent Reinforcement Learning. Most multiagent learning techniques focus on Nash equilibria as elements of both the learn...
Michael Weinberg, Jeffrey S. Rosenschein
EACL
2009
ACL Anthology
16 years 2 months ago
Learning to Interpret Utterances Using Dialogue History
David DeVault, Matthew Stone