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PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
14 years 12 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
CDC
2010
IEEE
210views Control Systems» more  CDC 2010»
14 years 8 months ago
Advances in moving horizon estimation for nonlinear systems
In the past decade, moving horizon estimation (MHE) has emerged as a powerful technique for estimating the state of a dynamical system in the presence of nonlinearities and disturb...
Angelo Alessandri, Marco Baglietto, Giorgio Battis...
201
Voted
CP
2009
Springer
16 years 2 months ago
The Complexity of Valued Constraint Models
The Valued Constraint Satisfaction Problem (VCSP) is a general framework encompassing many optimisation problems. We discuss precisely what it means for a problem to be modelled in...
Peter G. Jeavons, Stanislav Zivný
CVPR
2010
IEEE
15 years 9 months ago
Efficiently Selecting Regions for Scene Understanding
Recent advances in scene understanding and related tasks have highlighted the importance of using regions to reason about high-level scene structure. Typically, the regions are ...
M. Pawan Kumar, Daphne Koller
SAC
2009
ACM
15 years 8 months ago
Exploiting weak dependencies in tree-based search
In this work, our objective is to heuristically discover a simplified form of functional dependencies between variables called weak dependencies. Once discovered, these relations...
Alejandro Arbelaez, Youssef Hamadi