Publication details
Optimizing the Expected Mean Payoff in Energy Markov Decision Processes
| Authors | |
|---|---|
| Year of publication | 2016 |
| Type | Article in Proceedings |
| Conference | Automated Technology for Verification and Analysis - 14th International Symposium, ATVA 2016 |
| MU Faculty or unit | |
| Citation | |
| Doi | http://dx.doi.org/10.1007/978-3-319-46520-3_3 |
| Field | Informatics |
| Keywords | mean payoff; energy games |
| Description | Energy Markov Decision Processes (EMDPs) are finite-state Markov decision processes where each transition is assigned an integer counter update and a rational payoff. An EMDP configuration is a pair s(n), where s is a control state and n is the current counter value. The configurations are changed by performing transitions in the standard way. We consider the problem of computing a safe strategy (i.e., a strategy that keeps the counter non-negative) which maximizes the expected mean payoff. |
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