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125
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ATAL
2009
Springer
15 years 8 months ago
2009
Springer
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
114
Voted
ROBOCOMM
2007
IEEE
15 years 8 months ago
2007
IEEE
—This paper presents a communication/coordination/ processing architecture for distributed adaptive observation of a spatial field using a fleet of autonomous mobile sensors. O...
127
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GECCO
2007
Springer
15 years 8 months ago
2007
Springer
The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much e...
GECCO
2007
Springer
2007
Springer
Optimising the flow of experiments to a robot scientist with multi-objective evolutionary algorithms
15 years 8 months ago
A Robot Scientist is a physically implemented system that applies artificial intelligence to autonomously discover new knowledge through cycles of scientific experimentation. Ad...
115
Voted
GECCO
2007
Springer
15 years 8 months ago
2007
Springer
In multiobjective particle swarm optimization (MOPSO) methods, selecting the local best and the global best for each particle of the population has a great impact on the convergen...