252 search results - page 11 / 51 » Learning Partially Observable Action Models: Efficient Algor... |
UAI
2001
15 years 1 months ago
2001
There exist a number of reinforcement learning algorithms which learn by climbing the gradient of expected reward. Their long-run convergence has been proved, even in partially ob...
CVPR
2009
IEEE
16 years 6 months ago
2009
IEEE
We propose a novel approach to designing algorithms for
object tracking based on fusing multiple observation models.
As the space of possible observation models is too large
for...
101
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ICML
2000
IEEE
16 years 14 days ago
2000
IEEE
Decision-theoretic reasoning and planning algorithms are increasingly being used for mobile robot navigation, due to the signi cant uncertainty accompanying the robots' perce...
116
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AAAI
2000
15 years 1 months ago
2000
Given a model of a physical process and a sequence of commands and observations received over time, the task of an autonomous controller is to determine the likely states of the p...
ICRA
2007
IEEE
15 years 6 months ago
2007
IEEE
— While the Partially Observable Markov Decision Process (POMDP) provides a formal framework for the problem of robot control under uncertainty, it typically assumes a known and ...