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» Learning and Inference with Constraints
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AAAI
2010
15 years 4 months ago
Bayesian Policy Search for Multi-Agent Role Discovery
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
Aaron Wilson, Alan Fern, Prasad Tadepalli
CP
2005
Springer
15 years 9 months ago
Tree Decomposition with Function Filtering
Besides search, complete inference methods can also be used to solve soft constraint problems. Their main drawback is the high spatial complexity. To improve its practical usage, w...
Martí Sánchez, Javier Larrosa, Pedro...
118
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CICLING
2008
Springer
15 years 5 months ago
Analysis of Joint Inference Strategies for the Semantic Role Labeling of Spanish and Catalan
This paper analyzes two joint inference approaches for semantic role labeling: re-ranking of candidate semantic frames generated by one local model and combination of two distinct ...
Mihai Surdeanu, Roser Morante, Lluís M&agra...
AMAI
2005
Springer
15 years 3 months ago
Robust inference of trees
Abstract. This paper is concerned with the reliable inference of optimal treeapproximations to the dependency structure of an unknown distribution generating data. The traditional ...
Marco Zaffalon, Marcus Hutter
IROS
2006
IEEE
121views Robotics» more  IROS 2006»
15 years 9 months ago
Planning and Acting in Uncertain Environments using Probabilistic Inference
— An important problem in robotics is planning and selecting actions for goal-directed behavior in noisy uncertain environments. The problem is typically addressed within the fra...
Deepak Verma, Rajesh P. N. Rao