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ICANNGA
2007
Springer
105views Algorithms» more  ICANNGA 2007»
15 years 10 months ago
Reinforcement Learning in Fine Time Discretization
Reinforcement Learning (RL) is analyzed here as a tool for control system optimization. State and action spaces are assumed to be continuous. Time is assumed to be discrete, yet th...
Pawel Wawrzynski
RTSS
1995
IEEE
15 years 7 months ago
Enhancing Real-Time Schedules to Tolerate Transient Faults
We present a scheme to guarantee that the execution of real-time tasks can tolerate transient and intermittent faults assuming any queue- based scheduling technique. The scheme is...
Sunondo Ghosh, Rami G. Melhem, Daniel Mossé
199
Voted
RTSS
1995
IEEE
15 years 7 months ago
A Scalable Real-Time Synchronization Protocol for Distributed Systems
A distributed protocol is proposed for the synchronization of real-time tasks that have variable resource requirements. The protocol is simple to implement and is intended for lar...
Injong Rhee, Graham R. Martin
CORR
2010
Springer
79views Education» more  CORR 2010»
15 years 4 months ago
Quantitative Games on Probabilistic Timed Automata
Abstract. Two-player zero-sum games are a well-established model for synthesising controllers that optimise some performance criterion. In such games one player represents the cont...
Marta Z. Kwiatkowska, Gethin Norman, Ashutosh Triv...
CDC
2008
IEEE
148views Control Systems» more  CDC 2008»
15 years 10 months ago
Convergence rate for stochastic consensus algorithms with time-varying noise statistics: Asymptotic normality
— This paper studies consensus seeking over noisy networks with time-varying noise statistics. Stochastic approximation type algorithms can ensure consensus in mean square and wi...
Minyi Huang