190
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ATAL
2008
Springer
15 years 9 months ago
2008
Springer
The goal of Reinforcement learning (RL) is to maximize reward (minimize cost) in a Markov decision process (MDP) without knowing the underlying model a priori. RL algorithms tend ...
176
click to vote
ATAL
2008
Springer
15 years 9 months ago
2008
Springer
We report the implementation and evaluation of a Simulation Theory (ST) approach to the Theory of Mind in intelligent graphical agents driven by an affective agent architecture FA...
226
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HICSS
2010
IEEE
15 years 9 months ago
2010
IEEE
1 The latent semantic indexing (LSI) methodology for information retrieval applies the singular value decomposition to identify an eigensystem for a large matrix, in which cells re...
213
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ATAL
2008
Springer
15 years 9 months ago
2008
Springer
The paper formalizes a distributed approach to the problem of supervising the execution of a multi-agent plan where (possibly joint) actions are executed concurrently by a team of...
