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AAAI
1998
15 years 6 months ago
Tree Based Discretization for Continuous State Space Reinforcement Learning
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
William T. B. Uther, Manuela M. Veloso
VCIP
2000
134views Communications» more  VCIP 2000»
15 years 6 months ago
High-level syntax for H.26L: first results
This paper introduces some preliminary results of the standardization process of ITU-T's H.26L project. This forthcoming video coding standard will not only significantly imp...
Stephan Wenger
172
Voted
DAGSTUHL
2009
15 years 5 months ago
Engineering Self-Adaptive Systems through Feedback Loops
To deal with the increasing complexity of software systems and uncertainty of their environments, software engineers have turned to self-adaptivity. Self-adaptive systems are capab...
Yuriy Brun, Giovanna Di Marzo Serugendo, Cristina ...
AAMAS
2010
Springer
15 years 4 months ago
Multi-goal economic search using dynamic search structures
This paper investigates cooperative search strategies for agents engaged in costly search in a complex environment. Searching cooperatively, several search goals can be satisfied w...
David Sarne, Efrat Manisterski, Sarit Kraus
AI
2008
Springer
15 years 4 months ago
Robust artificial life via artificial programmed death
We propose a novel approach to self-regenerating continuously-operating systems. Such systems provide best-case solutions in security surveillance or decision making centers. We i...
M. M. Olsen, N. Siegelmann-Danieli, Hava T. Siegel...