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PODS
2006
ACM
156views Database» more  PODS 2006»
14 years 7 months ago
From statistical knowledge bases to degrees of belief: an overview
An intelligent agent will often be uncertain about various properties of its environment, and when acting in that environment it will frequently need to quantify its uncertainty. ...
Joseph Y. Halpern
QRE
2010
129views more  QRE 2010»
13 years 5 months ago
Improving quality of prediction in highly dynamic environments using approximate dynamic programming
In many applications, decision making under uncertainty often involves two steps- prediction of a certain quality parameter or indicator of the system under study and the subseque...
Rajesh Ganesan, Poornima Balakrishna, Lance Sherry
ATAL
2009
Springer
14 years 2 months ago
Planning with continuous resources for agent teams
Many problems of multiagent planning under uncertainty require distributed reasoning with continuous resources and resource limits. Decentralized Markov Decision Problems (Dec-MDP...
Janusz Marecki, Milind Tambe
APPROX
2005
Springer
136views Algorithms» more  APPROX 2005»
14 years 1 months ago
What About Wednesday? Approximation Algorithms for Multistage Stochastic Optimization
The field of stochastic optimization studies decision making under uncertainty, when only probabilistic information about the future is available. Finding approximate solutions to...
Anupam Gupta, Martin Pál, R. Ravi, Amitabh ...
AIPS
2006
13 years 9 months ago
Combining Knowledge Compilation and Search for Conformant Probabilistic Planning
We present a new algorithm for conformant probabilistic planning, which for a given horizon produces a plan that maximizes the probability of success under quantified uncertainty ...
Jinbo Huang