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NIPS
2008
15 years 4 months ago
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
John W. Roberts, Russ Tedrake
IPPS
2007
IEEE
15 years 9 months ago
Message Routing and Scheduling in Optical Multistage Networks using Bayesian Inference method on AI algorithms
Optical Multistage Interconnection Networks (MINs) suffer from optical-loss during switching and crosstalk problem in the switches. The crosstalk problem is solved by routing mess...
Ajay K. Katangur, Somasheker Akkaladevi
SECON
2007
IEEE
15 years 9 months ago
A Semi Markov-based Analysis of Rate Adaptation Algorithms in Wireless LANs
Abstract— Rate adaptation plays a key role in determining the performance of wireless LANs. In this paper, we introduce a semi-Markovian framework to analyze the performance of t...
Angad Singh, David Starobinski
106
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DSN
2003
IEEE
15 years 8 months ago
A Preemptive Deterministic Scheduling Algorithm for Multithreaded Replicas
Software-based active replication is expensive in terms of performance overhead. Multithreading can help improve performance; however, thread scheduling is a source of nondetermin...
Claudio Basile, Zbigniew Kalbarczyk, Ravishankar K...
SIGIR
2003
ACM
15 years 8 months ago
Quantitative evaluation of passage retrieval algorithms for question answering
Passage retrieval is an important component common to many question answering systems. Because most evaluations of question answering systems focus on end-to-end performance, comp...
Stefanie Tellex, Boris Katz, Jimmy J. Lin, Aaron F...