120 search results - page 13 / 24 » Hierarchical Solution of Markov Decision Processes using Mac... |
JAIR
2008
14 years 10 months ago
2008
Multi-agent planning in stochastic environments can be framed formally as a decentralized Markov decision problem. Many real-life distributed problems that arise in manufacturing,...
IJCAI
2001
14 years 11 months ago
2001
We present a dynamic programming approach for the solution of first-order Markov decisions processes. This technique uses an MDP whose dynamics is represented in a variant of the ...
108
click to vote
NIPS
2004
14 years 11 months ago
2004
We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
ATAL
2009
Springer
15 years 4 months ago
2009
Springer
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
ICMCS
2009
IEEE
14 years 7 months ago
2009
IEEE
The importance of dialog management systems has increased in recent years. Dialog systems are created for domain specific applications, so that a high demand for a flexible dialog...