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ATAL
2010
Springer
15 years 7 months ago
Learning multi-agent state space representations
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Yann-Michaël De Hauwere, Peter Vrancx, Ann No...
GLOBECOM
2008
IEEE
16 years 21 days ago
Joint Power Loading of Data and Pilots in OFDM Using Imperfect Channel State Information at the Transmitter
— The search for optimality in the design of channel precoders and training symbols in block processing communication systems is one of paramount importance. Finding the best tra...
Chitaranjan P. Sukumar, Ricardo Merched, Ahmed M. ...
TAICPART
2006
IEEE
134views Education» more  TAICPART 2006»
16 years 7 days ago
Integration Testing of Components Guided by Incremental State Machine Learning
The design of complex systems, e.g., telecom services, is nowadays usually based on the integration of components (COTS), loosely coupled in distributed architectures. When compon...
Keqin Li 0002, Roland Groz, Muzammil Shahbaz
IEEEPACT
2005
IEEE
15 years 12 months ago
Memory State Compressors for Giga-Scale Checkpoint/Restore
We propose a checkpoint store compression method for coarse-grain giga-scale checkpoint/restore. This mechanism can be useful for debugging, post-mortem analysis and error recover...
Andreas Moshovos, Alexandros Kostopoulos
KBSE
2002
IEEE
15 years 11 months ago
What Makes Finite-State Models More (or Less) Testable?
Finite-state machine (FSM) models are commonly used to represent software with concurrent processes. Established model checking tools can be used to automatically test FSM models,...
David Owen, Tim Menzies, Bojan Cukic