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AAAI
1997
13 years 6 months ago
Structured Solution Methods for Non-Markovian Decision Processes
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...
Fahiem Bacchus, Craig Boutilier, Adam J. Grove
JAIR
2006
157views more  JAIR 2006»
13 years 5 months ago
Decision-Theoretic Planning with non-Markovian Rewards
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...
Sylvie Thiébaux, Charles Gretton, John K. S...
UAI
2003
13 years 6 months ago
Implementation and Comparison of Solution Methods for Decision Processes with Non-Markovian Rewards
This paper examines a number of solution methods for decision processes with non-Markovian rewards (NMRDPs). They all exploit a temporal logic specification of the reward functio...
Charles Gretton, David Price, Sylvie Thiéba...
AAAI
1996
13 years 6 months ago
Rewarding Behaviors
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...
Fahiem Bacchus, Craig Boutilier, Adam J. Grove
AAAI
2006
13 years 6 months ago
Improving Approximate Value Iteration Using Memories and Predictive State Representations
Planning in partially-observable dynamical systems is a challenging problem, and recent developments in point-based techniques such as Perseus significantly improve performance as...
Michael R. James, Ton Wessling, Nikos A. Vlassis