Abstract
Presents some new results on detection of optimal and non-optimal actions in Markov decision processes. In the discounted case the author provides two new tests to eliminate non-optimal actions and to keep optimal actions. These two conditions are direct extensions of similar conditions in the average cost case. The author then derives a new MacQueen type test for action elimination in the average cost case. >
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