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Efficient Strategy Synthesis for MDPs with Resource Constraints
[article]
2021
arXiv
pre-print
We consider qualitative strategy synthesis for the formalism called consumption Markov decision processes. This formalism can model dynamics of an agents that operates under resource constraints in a stochastic environment. The presented algorithms work in time polynomial with respect to the representation of the model and they synthesize strategies ensuring that a given set of goal states will be reached (once or infinitely many times) with probability 1 without resource exhaustion. In
arXiv:2105.02099v1
fatcat:ocu2obhazrgpbbmqjtam7gnu64