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AIPS
2009
15 years 7 months ago
Automatic Derivation of Memoryless Policies and Finite-State Controllers Using Classical Planners
Finite-state and memoryless controllers are simple action selection mechanisms widely used in domains such as videogames and mobile robotics. Memoryless controllers stand for func...
Blai Bonet, Héctor Palacios, Hector Geffner
AAMAS
2010
Springer
15 years 6 months ago
Optimizing fixed-size stochastic controllers for POMDPs and decentralized POMDPs
POMDPs and their decentralized multiagent counterparts, DEC-POMDPs, offer a rich framework for sequential decision making under uncertainty. Their computational complexity, howeve...
Christopher Amato, Daniel S. Bernstein, Shlomo Zil...
DKE
2008
85views more  DKE 2008»
15 years 6 months ago
On automatic knowledge validation for Bayesian knowledge bases
Knowledge validation, as part of knowledge base verification and validation is a critical process in knowledge engineering. The ultimate goal of this process is to make the knowle...
Eugene Santos Jr., Hang T. Dinh
ICCV
2011
IEEE
14 years 6 months ago
Perturb-and-MAP Random Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
George Papandreou, Alan L. Yuille
FLAIRS
2008
15 years 8 months ago
A First-Order Bayesian Tool for Probabilistic Ontologies
One of the major weaknesses of current research on the Semantic Web (SW) is the lack of proper means to represent and reason with uncertainty. A number of recent efforts from the ...
Paulo Cesar G. da Costa, Marcelo Ladeira, Rommel N...