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» Decision Trees for Functional Variables
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UAI
2004
13 years 9 months ago
Hybrid Influence Diagrams Using Mixtures of Truncated Exponentials
Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for representing continuous chance variables in influence diagrams. Also, MTE potentials c...
Barry R. Cobb, Prakash P. Shenoy
ISAAC
2009
Springer
98views Algorithms» more  ISAAC 2009»
14 years 2 months ago
On the Tightness of the Buhrman-Cleve-Wigderson Simulation
Abstract. Buhrman, Cleve and Wigderson gave a general communication protocol for block-composed functions f(g1(x1 , y1 ), · · · , gn(xn , yn )) by simulating a decision tree com...
Shengyu Zhang
PRICAI
2000
Springer
13 years 11 months ago
Generating Hierarchical Structure in Reinforcement Learning from State Variables
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
Bernhard Hengst
ISCAS
2006
IEEE
94views Hardware» more  ISCAS 2006»
14 years 1 months ago
On the sensitivity of BDDs with respect to path-related objective functions
— Reduced ordered Binary Decision Diagrams (BDDs) are a data structure for efficient representation and manipulation of Boolean functions. They are frequently used in logic synt...
Rüdiger Ebendt, Rolf Drechsler
ML
2002
ACM
146views Machine Learning» more  ML 2002»
13 years 7 months ago
Variable Resolution Discretization in Optimal Control
Abstract. The problemof state abstractionis of centralimportancein optimalcontrol,reinforcement learning and Markov decision processes. This paper studies the case of variable reso...
Rémi Munos, Andrew W. Moore