Competitive Markov decision processes
Competitive Markov decision processes
The complexity of bisimilarity-checking for one-counter processes
Theoretical Computer Science
DP Lower bounds for equivalence-checking and model-checking of one-counter automata
Information and Computation
Reachability in recursive Markov decision processes
Information and Computation
Recursive Stochastic Games with Positive Rewards
ICALP '08 Proceedings of the 35th international colloquium on Automata, Languages and Programming, Part I
One-counter Markov decision processes
SODA '10 Proceedings of the twenty-first annual ACM-SIAM symposium on Discrete Algorithms
ICALP'10 Proceedings of the 37th international colloquium conference on Automata, languages and programming: Part II
Approximating the termination value of one-counter MDPS and stochastic games
ICALP'11 Proceedings of the 38th international conference on Automata, languages and programming - Volume Part II
STACS'06 Proceedings of the 23rd Annual conference on Theoretical Aspects of Computer Science
Parity games played on transition graphs of one-counter processes
FOSSACS'06 Proceedings of the 9th European joint conference on Foundations of Software Science and Computation Structures
Recursive markov decision processes and recursive stochastic games
ICALP'05 Proceedings of the 32nd international conference on Automata, Languages and Programming
Playing games with counter automata
RP'12 Proceedings of the 6th international conference on Reachability Problems
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We consider the problem of computing the value and an optimal strategy for minimizing the expected termination time in one-counter Markov decision processes. Since the value may be irrational and an optimal strategy may be rather complicated, we concentrate on the problems of approximating the value up to a given error ε0 and computing a finite representation of an ε-optimal strategy. We show that these problems are solvable in exponential time for a given configuration, and we also show that they are computationally hard in the sense that a polynomial-time approximation algorithm cannot exist unless P=NP.