2348 search results - page 201 / 470 » Stochastic Mapping Frameworks |
136
Voted
ATAL
2004
Springer
15 years 10 months ago
2004
Springer
This paper investigates a relatively new direction in Multiagent Reinforcement Learning. Most multiagent learning techniques focus on Nash equilibria as elements of both the learn...
136
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CDC
2009
IEEE
15 years 9 months ago
2009
IEEE
— The problem of finding an optimal path in an uncertain graph arises in numerous applications, including network routing, path-planning for vehicles, and the control of finite...
124
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CDC
2009
IEEE
15 years 9 months ago
2009
IEEE
Abstract— In this paper, we consider a discrete-time stochastic system, where sensor measurements are sent over a network to the controller. The design objective is a non-classic...
137
Voted
ISIPTA
1999
IEEE
15 years 9 months ago
1999
IEEE
The aim of this paper is to survey and brie y discuss various rules of conditioning proposed in the framework of possibility theory as well as various conditional independence rel...
132
Voted
ICGI
1994
Springer
15 years 8 months ago
1994
Springer
We describe a framework for inducing probabilistic grammars from corpora of positive samples. First, samples are incorporated by adding ad-hoc rules to a working grammar; subseque...