49 search results - page 8 / 10 » Emotions as Durative Dynamic State for Action Selection |
AAAI
1997
13 years 8 months ago
1997
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
ICRA
2006
IEEE
14 years 1 months ago
2006
IEEE
– In this paper, we present a general mathematical foundation of hormone-inspired control for the selfreconfigurable robotic system. Problem considered here is the lack of a math...
ICCV
2001
IEEE
14 years 9 months ago
2001
IEEE
Hidden Markov Models (HMMs) are increasingly being used in computer vision for applications such as: gesture analysis, action recognition from video, and illumination modeling. Th...
ATAL
2005
Springer
14 years 1 months ago
2005
Springer
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
EUROCAST
2007
Springer
14 years 1 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...