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» A Framework for Belief Update
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ECAI
2008
Springer
15 years 8 months ago
Exploiting locality of interactions using a policy-gradient approach in multiagent learning
In this paper, we propose a policy gradient reinforcement learning algorithm to address transition-independent Dec-POMDPs. This approach aims at implicitly exploiting the locality...
Francisco S. Melo
ER
1999
Springer
110views Database» more  ER 1999»
15 years 10 months ago
A Survey of Current Methods for Integrity Constraint Maintenance and View Updating
During the process of updating a database, two interrelated problems could arise. On one hand, when an update is applied to the database, integrity constraints could become violat...
Enric Mayol, Ernest Teniente
AAAI
1990
15 years 7 months ago
Symbolic Probabilistic Inference in Belief Networks
The Symbolic Probabilistic Inference (SPI) Algorithm [D'Ambrosio, 19891 provides an efficient framework for resolving general queries on a belief network. It applies the conc...
Ross D. Shachter, Bruce D'Ambrosio, Brendan Del Fa...
CORR
2008
Springer
75views Education» more  CORR 2008»
15 years 6 months ago
A new probabilistic transformation of belief mass assignment
In this paper, we propose in Dezert-Smarandache Theory (DSmT) framework, a new probabilistic transformation, called DSmP, in order to build a subjective probability measure from an...
Jean Dezert, Florentin Smarandache
LOGCOM
2008
120views more  LOGCOM 2008»
15 years 6 months ago
Reconstructing an Agent's Epistemic State from Observations about its Beliefs and Non-beliefs
We look at the problem in belief revision of trying to make inferences about what an agent believed--or will believe--at a given moment, based on an observation of how the agent h...
Richard Booth, Alexander Nittka