683 search results - page 51 / 137 » Coarticulation in Markov Decision Processes |
AIPS
2004
13 years 11 months ago
2004
Military operations planning involves concurrent actions, resource assignment, and conflicting costs. Individual tasks sometimes fail with a known probability, promoting a decisio...
AIPS
2000
13 years 11 months ago
2000
Goal-directed Markov Decision Process models (GDMDPs) are good models for many decision-theoretic planning tasks. They have been used in conjunction with two different reward stru...
AAAI
2008
14 years 12 days ago
2008
Partially Observable Markov Decision Processes have been studied widely as a model for decision making under uncertainty, and a number of methods have been developed to find the s...
ALT
2006
Springer
14 years 7 months ago
2006
Springer
Abstract. Recently, some non-regular subclasses of context-free grammars have been found to be efficiently learnable from positive data. In order to use these efficient algorithms ...
ICML
2006
IEEE
14 years 11 months ago
2006
IEEE
How should a reinforcement learning agent act if its sole purpose is to efficiently learn an optimal policy for later use? In other words, how should it explore, to be able to exp...