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ICML
2001
IEEE
14 years 9 months ago
Continuous-Time Hierarchical Reinforcement Learning
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
Mohammad Ghavamzadeh, Sridhar Mahadevan
WWW
2009
ACM
14 years 9 months ago
Graffiti: node labeling in heterogeneous networks
We introduce a multi-label classification model and algorithm for labeling heterogeneous networks, where nodes belong to different types and different types have different sets of...
Ralitsa Angelova, Gjergji Kasneci, Fabian M. Sucha...
ICCAD
2002
IEEE
189views Hardware» more  ICCAD 2002»
14 years 6 months ago
Reversible logic circuit synthesis
Reversible, or information-lossless, circuits have applications in digital signal processing, communication, computer graphics and cryptography. They are also a fundamental requir...
Vivek V. Shende, Aditya K. Prasad, Igor L. Markov,...
EVOW
2009
Springer
14 years 3 months ago
Grid Coevolution for Adaptive Simulations: Application to the Building of Opening Books in the Game of Go
This paper presents a successful application of parallel (grid) coevolution applied to the building of an opening book (OB) in 9x9 Go. Known sayings around the game of Go are refou...
Pierre Audouard, Guillaume Chaslot, Jean-Baptiste ...
ALDT
2009
Springer
140views Algorithms» more  ALDT 2009»
14 years 3 months ago
Directional Decomposition of Multiattribute Utility Functions
Abstract. Several schemes have been proposed for compactly representing multiattribute utility functions, yet none seems to achieve the level of success achieved by Bayesian and Ma...
Ronen I. Brafman, Yagil Engel