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AAAI
2010
13 years 9 months ago
Reinforcement Learning via AIXI Approximation
This paper introduces a principled approach for the design of a scalable general reinforcement learning agent. This approach is based on a direct approximation of AIXI, a Bayesian...
Joel Veness, Kee Siong Ng, Marcus Hutter, David Si...
HOTI
2005
IEEE
14 years 1 months ago
A Scalable Switch for Service Guarantees
— Operators need routers to provide service guarantees such as guaranteed flow rates and fairness among flows, so as to support real-time traffic and traffic engineering. How...
Bill Lin, Isaac Keslassy
ALGORITHMICA
2004
132views more  ALGORITHMICA 2004»
13 years 7 months ago
A General Model for Authenticated Data Structures
Query answers from on-line databases can easily be corrupted by hackers or malicious database publishers. Thus it is important to provide mechanisms which allow clients to trust th...
Charles U. Martel, Glen Nuckolls, Premkumar T. Dev...
DAC
2010
ACM
13 years 11 months ago
Towards scalable system-level reliability analysis
State-of-the-art automatic reliability analyses as used in system-level design approaches mainly rely on Binary Decision Diagrams (BDDs) and, thus, face two serious problems: (1) ...
Michael Glaß, Martin Lukasiewycz, Christian ...
DAC
2003
ACM
14 years 8 months ago
A scalable software-based self-test methodology for programmable processors
Software-based self-test (SBST) is an emerging approach to address the challenges of high-quality, at-speed test for complex programmable processors and systems-on chips (SoCs) th...
Li Chen, Srivaths Ravi, Anand Raghunathan, Sujit D...