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AAAI
1997
13 years 6 months ago
Model Minimization in Markov Decision Processes
Many stochastic planning problems can be represented using Markov Decision Processes (MDPs). A difficulty with using these MDP representations is that the common algorithms for so...
Thomas Dean, Robert Givan
AIPS
2006
13 years 6 months ago
Solving Factored MDPs with Exponential-Family Transition Models
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
Branislav Kveton, Milos Hauskrecht
FORMATS
2010
Springer
13 years 3 months ago
Combining Symbolic Representations for Solving Timed Games
We present a general approach to combine symbolic state space representations for the discrete and continuous parts in the synthesis of winning strategies for timed reachability ga...
Rüdiger Ehlers, Robert Mattmüller, Hans-...
ICAC
2009
IEEE
14 years 4 days ago
Applying genetic algorithms to decision making in autonomic computing systems
Increasingly, applications need to be able to self-reconfigure in response to changing requirements and environmental conditions. Autonomic computing has been proposed as a means...
Andres J. Ramirez, David B. Knoester, Betty H. C. ...
WWW
2005
ACM
14 years 6 months ago
Focused crawling by exploiting anchor text using decision tree
Focused crawlers are considered as a promising way to tackle the scalability problem of topic-oriented or personalized search engines. To design a focused crawler, the choice of s...
Jun Li, Kazutaka Furuse, Kazunori Yamaguchi