238 search results - page 19 / 48 » Value-Function Approximations for Partially Observable Marko... |
ATAL
2008
Springer
15 years 1 months ago
2008
Springer
The ability for an agent to reason under uncertainty is crucial for many planning applications, since an agent rarely has access to complete, error-free information about its envi...
AAAI
2006
15 years 1 months ago
2006
We introduce point-based dynamic programming (DP) for decentralized partially observable Markov decision processes (DEC-POMDPs), a new discrete DP algorithm for planning strategie...
123
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UAI
2000
15 years 1 months ago
2000
We consider the problem belief-state monitoring for the purposes of implementing a policy for a partially-observable Markov decision process (POMDP), specifically how one might ap...
ATAL
2004
Springer
15 years 5 months ago
2004
Springer
This paper presents properties and results of a new framework for sequential decision-making in multiagent settings called interactive partially observable Markov decision process...
102
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ICML
1996
IEEE
15 years 3 months ago
1996
IEEE
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...