1310 search results - page 223 / 262 » Progressive Optimization in Action |
100
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ECML
2005
Springer
15 years 7 months ago
2005
Springer
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
141
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GECCO
2005
Springer
15 years 7 months ago
2005
Springer
Many non-cooperative settings that could potentially be studied using game theory are characterized by having very large strategy spaces and payoffs that are costly to compute. Be...
121
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SIGECOM
2004
ACM
15 years 7 months ago
2004
ACM
In many market settings, agents do not know their preferences a priori. Instead, they may have to solve computationally complex optimization problems, query databases, or perform ...
105
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WOSS
2004
ACM
15 years 7 months ago
2004
ACM
Recently there has been increasing interest in developing systems that can adapt dynamically to cope with changing environmental conditions and unexpected system errors. Most effo...
116
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ATAL
2004
Springer
15 years 7 months ago
2004
Springer
Partially observable decentralized decision making in robot teams is fundamentally different from decision making in fully observable problems. Team members cannot simply apply si...