83 search results - page 6 / 17 » Planning and Acting in Partially Observable Stochastic Domai... |
JAIR
2008
14 years 9 months ago
2008
Partially Observable Markov Decision Processes (POMDPs) provide a rich framework for sequential decision-making under uncertainty in stochastic domains. However, solving a POMDP i...
ICTAI
1996
IEEE
15 years 1 months ago
1996
IEEE
This paper presents an approach to building plans using partially observable Markov decision processes. The approach begins with a base solution that assumes full observability. T...
116
click to vote
JAIR
2008
14 years 9 months ago
2008
We present exact algorithms for identifying deterministic-actions' effects and preconditions in dynamic partially observable domains. They apply when one does not know the ac...
100
click to vote
AAAI
2007
14 years 11 months ago
2007
In timed, zero-sum games, the goal is to maximize the probability of winning, which is not necessarily the same as maximizing our expected reward. We consider cumulative intermedi...
ICRA
2007
IEEE
15 years 3 months ago
2007
IEEE
— We introduce the Oracular Partially Observable Markov Decision Process (OPOMDP), a type of POMDP in which the world produces no observations; instead there is an “oracle,” ...