32 search results - page 6 / 7 » Planning with Durative Actions in Stochastic Domains |
KR
1989
Springer
13 years 9 months ago
1989
Springer
In this work we extend the work of Dean, Kaelbling, Kirman and Nicholson on planning under time constraints in stochastic domains to handle more complicated scheduling problems. I...
DAGSTUHL
2007
13 years 6 months ago
2007
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
ISRR
2005
Springer
13 years 10 months ago
2005
Springer
ys when planning meant searching for a sequence of abstract actions that satisfied some symbolic predicate. Robots can now learn their own representations through statistical infe...
ECML
2005
Springer
13 years 11 months ago
2005
Springer
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...
AAAI
2010
13 years 6 months ago
2010
Relational Markov Decision Processes (MDP) are a useraction for stochastic planning problems since one can develop abstract solutions for them that are independent of domain size ...