153 search results - page 22 / 31 » Some Decision Problems of Enormous Complexity |
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
Memory-bounded techniques have shown great promise in solving complex multi-agent planning problems modeled as DEC-POMDPs. Much of the performance gains can be attributed to pruni...
WSC
1998
13 years 8 months ago
1998
To begin using simulation in healthcare, one must first recognize the types of problems or decisions that can best be analyzed using simulation. Once a problem has been identified...
IJRR
2010
13 years 6 months ago
2010
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
AAAI
2008
13 years 9 months ago
2008
In this paper, we combine for the first time the methods of dynamic mechanism design with techniques from decentralized decision making under uncertainty. Consider a multi-agent s...
IJCAI
2003
13 years 8 months ago
2003
The problem of deriving joint policies for a group of agents that maximize some joint reward function can be modeled as a decentralized partially observable Markov decision proces...