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ICMLA
2010
15 years 4 months ago
Multi-Agent Inverse Reinforcement Learning
Learning the reward function of an agent by observing its behavior is termed inverse reinforcement learning and has applications in learning from demonstration or apprenticeship l...
Sriraam Natarajan, Gautam Kunapuli, Kshitij Judah,...
CDC
2010
IEEE
148views Control Systems» more  CDC 2010»
15 years 1 months ago
Convergence rates of consensus algorithms in stochastic networks
Abstract-- We study the convergence rate of average consensus algorithms in networks with stochastic communication failures. We show how the system dynamics can be modeled by a dis...
Stacy Patterson, Bassam Bamieh
INFOCOM
2005
IEEE
16 years 4 days ago
Practical algorithms for performance guarantees in buffered crossbars
— This paper is about high capacity switches and routers that give guaranteed throughput, rate and delay guarantees. Many routers are built using input queueing or combined input...
Shang-Tse Chuang, Sundar Iyer, Nick McKeown
SIGMETRICS
2004
ACM
124views Hardware» more  SIGMETRICS 2004»
15 years 12 months ago
Interposed proportional sharing for a storage service utility
This paper develops and evaluates new share-based scheduling algorithms for differentiated service quality in network services, such as network storage servers. This form of resou...
Wei Jin, Jeffrey S. Chase, Jasleen Kaur
ATAL
2008
Springer
15 years 8 months ago
On the importance of migration for fairness in online grid markets
Computational grids offer users a simple access to tremendous computer resources for solving large scale computing problems. Traditional performance analysis of scheduling algorit...
Lior Amar, Ahuva Mu'alem, Jochen Stößer