238 search results - page 33 / 48 » Value-Function Approximations for Partially Observable Marko... |
IJCAI
2003
15 years 1 months ago
2003
We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...
101
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NIPS
2001
15 years 1 months ago
2001
We show that states of a dynamical system can be usefully represented by multi-step, action-conditional predictions of future observations. State representations that are grounded...
85
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CDC
2008
IEEE
15 years 6 months ago
2008
IEEE
— In this paper we study the problem of dynamic optimization of ping schedule in an active sonar buoy network deployed to provide persistent surveillance of a littoral area throu...
ATAL
2006
Springer
15 years 3 months ago
2006
Springer
Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are evolving as a popular approach for modeling multiagent systems, and many different algorithms ha...
ICTAI
2005
IEEE
15 years 5 months ago
2005
IEEE
Partially Observable Markov Decision Processes (POMDPs) provide a general framework for AI planning, but they lack the structure for representing real world planning problems in a...