6 search results - page 1 / 2 » Decision-Theoretic Planning with non-Markovian Rewards |
108
Voted
JAIR
2006
14 years 9 months ago
2006
A decision process in which rewards depend on history rather than merely on the current state is called a decision process with non-Markovian rewards (NMRDP). In decisiontheoretic...
AAAI
1996
14 years 10 months ago
1996
Markov decision processes (MDPs) are a very popular tool for decision theoretic planning (DTP), partly because of the welldeveloped, expressive theory that includes effective solu...
AAAI
1997
14 years 10 months ago
1997
Markov Decision Processes (MDPs), currently a popular method for modeling and solving decision theoretic planning problems, are limited by the Markovian assumption: rewards and dy...
AIPS
2000
14 years 10 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
2006
14 years 10 months ago
2006
We study how to find plans that maximize the expected total utility for a given MDP, a planning objective that is important for decision making in high-stakes domains. The optimal...