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LAMAS
2005
Springer
15 years 6 months ago
Multi-agent Relational Reinforcement Learning
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
102
Voted
ICSEA
2008
IEEE
15 years 7 months ago
A UML Based Methodology to Ease the Modeling of a Set of Related Systems
Despite progress in model engineering, modeling large distributed systems is still a long and complex task. This paper outlines a methodology based on UML to make the modeling of ...
Firas Alhalabi, Mathieu Maranzana, Jean-Louis Sour...
103
Voted
FSTTCS
1998
Springer
15 years 5 months ago
A Synchronous Semantics of Higher-Order Processes for Modeling Reconfigurable Reactive Systems
Abstract. Synchronous languages are well suited for the design of dependable real-time systems: they enable a very high-level specification and an extremely modular implementation ...
Jean-Pierre Talpin, David Nowak
AUTOMATICA
2007
113views more  AUTOMATICA 2007»
15 years 27 days ago
Asymptotic rejection of unknown sinusoidal disturbances in nonlinear systems
This paper deals with global disturbance rejection of nonlinear systems. The disturbance is assumed to be sinusoidal with completely unknown phases, amplitude, and frequencies, bu...
Zhengtao Ding
129
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VLDB
1991
ACM
141views Database» more  VLDB 1991»
15 years 4 months ago
Efficiency of Nested Relational Document Database Systems
Systems designed for efficient retrieval of conventional data can be very inefficient at retrieving documents. Documents have more complex structure than conventional data, and th...
Justin Zobel, James A. Thom, Ron Sacks-Davis