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» The New Promise of Analog Computation
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ATAL
2007
Springer
14 years 1 months 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
CCS
2007
ACM
14 years 1 months ago
Alpaca: extensible authorization for distributed services
Traditional Public Key Infrastructures (PKI) have not lived up to their promise because there are too many ways to define PKIs, too many cryptographic primitives to build them wi...
Chris Lesniewski-Laas, Bryan Ford, Jacob Strauss, ...
TCC
2007
Springer
100views Cryptology» more  TCC 2007»
14 years 1 months ago
Private Approximation of Clustering and Vertex Cover
Private approximation of search problems deals with finding approximate solutions to search problems while disclosing as little information as possible. The focus of this work is ...
Amos Beimel, Renen Hallak, Kobbi Nissim
ICAC
2006
IEEE
14 years 1 months ago
A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation
— Reinforcement Learning (RL) provides a promising new approach to systems performance management that differs radically from standard queuing-theoretic approaches making use of ...
Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mo...
IPPS
2005
IEEE
14 years 1 months ago
An Empirical Study On the Vectorization of Multimedia Applications for Multimedia Extensions
Multimedia extensions (MME) are architectural extensions to general-purpose processors to boost the performance of multimedia workloads. Today, in-line assembly code, intrinsic fu...
Gang Ren, Peng Wu, David A. Padua