162 search results - page 20 / 33 » Topological Value Iteration Algorithm for Markov Decision Pr... |
PERCOM
2007
ACM
15 years 9 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 ...
AIPS
2007
15 years 6 days ago
2007
In sequential decision-making problems formulated as Markov decision processes, state-value function approximation using domain features is a critical technique for scaling up the...
QEST
2010
IEEE
14 years 7 months ago
2010
IEEE
Abstract--Model checkers for concurrent probabilistic systems have become very popular within the last decade. The study of long-run average behavior has however received only scan...
ICML
1996
IEEE
15 years 2 months ago
1996
IEEE
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
PRICAI
2000
Springer
15 years 1 months ago
2000
Springer
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...