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ICML
2010
IEEE
15 years 7 months ago
Internal Rewards Mitigate Agent Boundedness
Abstract--Reinforcement learning (RL) research typically develops algorithms for helping an RL agent best achieve its goals-however they came to be defined--while ignoring the rela...
Jonathan Sorg, Satinder P. Singh, Richard Lewis
ICML
2010
IEEE
15 years 7 months ago
Multi-Task Learning of Gaussian Graphical Models
We present multi-task structure learning for Gaussian graphical models. We discuss uniqueness and boundedness of the optimal solution of the maximization problem. A block coordina...
Jean Honorio, Dimitris Samaras
ICML
2010
IEEE
15 years 7 months ago
Feature Selection as a One-Player Game
This paper formalizes Feature Selection as a Reinforcement Learning problem, leading to a provably optimal though intractable selection policy. As a second contribution, this pape...
Romaric Gaudel, Michèle Sebag
AES
2007
Springer
78views Cryptology» more  AES 2007»
15 years 6 months ago
Reliability and performance-based design by artificial neural network
Whilst conventional approach in structural design is based on reliability-calibrated factored design formula, performance-based design customizes a solution to the specific circum...
K. W. Chau
AUTOMATICA
2008
79views more  AUTOMATICA 2008»
15 years 6 months ago
Robust filtering for uncertain linear discrete-time descriptor systems
This paper is concerned with the problem of robust filtering for uncertain linear discrete-time descriptor systems. The matrices of the system state-space model are uncertain, bel...
Carlos E. de Souza, Karina A. Barbosa, Minyue Fu
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