771 search results - page 56 / 155 » Markov Decision Processes with Arbitrary Reward Processes |
130
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CORR
2010
Springer
15 years 4 months ago
2010
Springer
The success of probabilistic model checking for discrete-time Markov decision processes and continuous-time Markov chains has led to rich academic and industrial applications. The ...
128
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ICTAI
1996
IEEE
15 years 8 months ago
1996
IEEE
This paper presents an approach to building plans using partially observable Markov decision processes. The approach begins with a base solution that assumes full observability. T...
142
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ICML
1994
IEEE
15 years 7 months ago
1994
IEEE
In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function....
133
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JAIR
2006
15 years 4 months ago
2006
Efficient representations and solutions for large decision problems with continuous and discrete variables are among the most important challenges faced by the designers of automa...
142
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FSTTCS
2006
Springer
15 years 7 months ago
2006
Springer
We propose a new approach to verification of probabilistic processes for which the model may not be available. We use a technique from Reinforcement Learning to approximate how far...