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» A Framework for Belief Update
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ECAI
2008
Springer
15 years 2 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 4 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 1 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 16 days 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 12 days 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