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ATAL
2007
Springer
14 years 14 days ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
SIGMETRICS
1992
ACM
145views Hardware» more  SIGMETRICS 1992»
13 years 10 months ago
Analysis of the Generalized Clock Buffer Replacement Scheme for Database Transaction Processing
The CLOCK algorithm is a popular buffer replacement algorithm becauseof its simplicity and its ability to approximate the performance of the Least Recently Used (LRU) replacement ...
Victor F. Nicola, Asit Dan, Daniel M. Dias
CRYPTO
2009
Springer
145views Cryptology» more  CRYPTO 2009»
14 years 25 days ago
Leakage-Resilient Public-Key Cryptography in the Bounded-Retrieval Model
We study the design of cryptographic primitives resilient to key-leakage attacks, where an attacker can repeatedly and adaptively learn information about the secret key, subject o...
Joël Alwen, Yevgeniy Dodis, Daniel Wichs
DATE
2010
IEEE
153views Hardware» more  DATE 2010»
13 years 11 months ago
HORUS - high-dimensional Model Order Reduction via low moment-matching upgraded sampling
— This paper describes a Model Order Reduction algorithm for multi-dimensional parameterized systems, based on a sampling procedure which incorporates a low order moment matching...
Jorge Fernandez Villena, Luis Miguel Silveira
IJCNN
2006
IEEE
14 years 9 days ago
Bi-directional Modularity to Learn Visual Servoing Tasks
— This paper shows the advantage of using neural network modularity over conventional learning schemes to approximate complex functions. Indeed, it is difficult for artificial ...
Gilles Hermann, Patrice Wira, Jean-Philippe Urban