682 search results - page 103 / 137 » One-Counter Markov Decision Processes |
123
Voted
AAAI
2006
15 years 2 months ago
2006
Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...
98
Voted
ICIS
2003
15 years 2 months ago
2003
Revelation policies in an e-marketplace differ in terms of the level of competitive information disseminated to participating sellers. Since sellers who repeatedly compete against...
88
Voted
GECCO
2005
Springer
15 years 6 months ago
2005
Springer
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
109
Voted
WISE
2002
Springer
15 years 5 months ago
2002
Springer
A distributed search system consists of a large number of autonomous search servers logically connected in a peerto-peer network. Each search server maintains a local index of a c...
100
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ATAL
2009
Springer
15 years 7 months ago
2009
Springer
Recent scaling up of decentralized partially observable Markov decision process (DEC-POMDP) solvers towards realistic applications is mainly due to approximate methods. Of this fa...