173 search results - page 22 / 35 » Probabilistic decision graphs for optimization under uncerta... |
AAAI
2012
11 years 9 months ago
2012
Planning under uncertainty is an important and challenging problem in multiagent systems. Multiagent Partially Observable Markov Decision Processes (MPOMDPs) provide a powerful fr...
ATAL
2005
Springer
14 years 8 days ago
2005
Springer
In many negotiation and bargaining scenarios, a particular agent may need to interact repeatedly with another agent. Typically, these interactions take place under incomplete info...
AAAI
1990
13 years 8 months ago
1990
The probabilistic network technology is a knowledgebased technique which focuses on reasoning under uncertainty. Because of its well defined semantics and solid theoretical founda...
VLSID
2006
IEEE
14 years 7 months ago
2006
IEEE
With device size shrinking and fast rising frequency ranges, effect of cosmic radiations and alpha particles known as Single-Event-Upset (SEU), Single-Eventtransients (SET), is a ...
IJCAI
2003
13 years 8 months ago
2003
Markov decision processes (MDPs) and contingency planning (CP) are two widely used approaches to planning under uncertainty. MDPs are attractive because the model is extremely gen...