312 search results - page 20 / 63 » Learning Partially Observable Deterministic Action Models |
ICML
2000
IEEE
14 years 8 months 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...
PERCOM
2007
ACM
14 years 7 months ago
2007
ACM
We consider sensor scheduling as the optimal observability problem for partially observable Markov decision processes (POMDP). This model fits to the cases where a Markov process ...
COLT
2005
Springer
13 years 9 months ago
2005
Springer
External regret compares the performance of an online algorithm, selecting among N actions, to the performance of the best of those actions in hindsight. Internal regret compares ...
PAMI
2011
12 years 10 months ago
2011
—We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden condi...
CPHYSICS
2006
13 years 7 months ago
2006
We study the relation between the acquisition and analysis of data and quantum theory using a probabilistic and deterministic model for photon polarizers. We introduce criteria fo...