252 search results - page 39 / 51 » Learning Partially Observable Action Models: Efficient Algor... |
155
Voted
CVPR
2010
IEEE
15 years 10 months ago
2010
IEEE
Detecting objects in cluttered scenes and estimating articulated human body parts are two challenging problems in computer vision. The difficulty is particularly pronounced in ac...
110
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
127
Voted
STOC
2005
ACM
16 years 2 months ago
2005
ACM
We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...
103
Voted
ATAL
2004
Springer
15 years 8 months ago
2004
Springer
Distributed Partially Observable Markov Decision Problems (POMDPs) are emerging as a popular approach for modeling multiagent teamwork where a group of agents work together to joi...
135
Voted
ICRA
2010
IEEE
15 years 1 months ago
2010
IEEE
— Partially Observable Markov Decision Processes (POMDPs) offer a powerful mathematical framework for making optimal action choices in noisy and/or uncertain environments, in par...