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» Markov Decision Processes with Arbitrary Reward Processes
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109
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NIPS
1997
15 years 3 months ago
How to Dynamically Merge Markov Decision Processes
Satinder P. Singh, David Cohn
ICML
2010
IEEE
15 years 2 months ago
Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes
Approximate dynamic programming has been used successfully in a large variety of domains, but it relies on a small set of provided approximation features to calculate solutions re...
Marek Petrik, Gavin Taylor, Ronald Parr, Shlomo Zi...
121
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ORL
2008
68views more  ORL 2008»
15 years 1 months ago
On polynomial cases of the unichain classification problem for Markov Decision Processes
The unichain classification problem detects whether a finite state and action MDP is unichain under all deterministic policies. This problem is NP-hard [11]. This paper provides p...
Eugene A. Feinberg, Fenghsu Yang