173 search results - page 25 / 35 » Probabilistic decision graphs for optimization under uncerta... |
UAI
2008
13 years 8 months ago
2008
The paper introduces a generalization for known probabilistic models such as log-linear and graphical models, called here multiplicative models. These models, that express probabi...
ATAL
2010
Springer
13 years 7 months ago
2010
Springer
Bayesian games can be used to model single-shot decision problems in which agents only possess incomplete information about other agents, and hence are important for multiagent co...
NIPS
2008
13 years 8 months ago
2008
Research in animal learning and behavioral neuroscience has distinguished between two forms of action control: a habit-based form, which relies on stored action values, and a goal...
AAMAS
2010
Springer
13 years 6 months ago
2010
Springer
POMDPs and their decentralized multiagent counterparts, DEC-POMDPs, offer a rich framework for sequential decision making under uncertainty. Their computational complexity, howeve...
ECAI
1998
Springer
13 years 11 months ago
1998
Springer
Progressive processing allows a system to satisfy a set of requests under time pressure by limiting the amount of processing allocated to each task based on a predefined hierarchic...