771 search results - page 73 / 155 » Markov Decision Processes with Arbitrary Reward Processes |
140
Voted
IJCAI
2007
15 years 5 months ago
2007
Markov Decision Processes are a powerful framework for planning under uncertainty, but current algorithms have difficulties scaling to large problems. We present a novel probabil...
129
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FLAIRS
2001
15 years 5 months ago
2001
Partially Observable Markov Decision Process models (POMDPs) have been applied to low-level robot control. We show how to use POMDPs differently, namely for sensorplanning in the ...
133
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AAAI
2004
15 years 5 months ago
2004
The search for finite-state controllers for partially observable Markov decision processes (POMDPs) is often based on approaches like gradient ascent, attractive because of their ...
145
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SIGMETRICS
2010
ACM
15 years 9 months ago
2010
ACM
Game theoretic modeling and equilibrium analysis of congestion games have provided insights in the performance of Internet congestion control, road transportation networks, etc. D...
137
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ECAI
2008
Springer
15 years 5 months ago
2008
Springer
Abstract. In the aftermath of a large-scale disaster, agents’ decisions derive from self-interested (e.g. survival), common-good (e.g. victims’ rescue) and teamwork (e.g. fire...