human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "variations on the stochastic shortest path problem"):
  Abstract: In this invited contribution, we revisit the stochastic shortest path problem, and show how recent results allow one to improve over the classical solutions: we present algorithms to synthesize strategies with multiple guarantees on the distribution of the length of paths reaching a given target, rather than simply minimizing its expected value. The concepts and algorithms that we propose here are applications of more general results that have been obtained recently for Markov decision processes and that are described in a series of recent papers.

Includes members:
  Member "quantitative languages defined by functional automata":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "sequentiality of string to context transducers")
  Member "multiple environment markov decision processes":
    also connected through other hyperedges:
      (none)
  Member "the odds of staying on budget":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "life is random time is not markov decision processes with window objectives")
  Member "percentile queries in multi dimensional markov decision processes":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "life is random time is not markov decision processes with window objectives")
  Member "expectations or guarantees i want it all a crossroad between games and mdps":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "reconciling rationality and stochasticity rich behavioral models in two player games")
  Member "to reach or not to reach efficient algorithms for total payoff games":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "optimal reachability in divergent weighted timed games")
  Member "what is decidable about partially observable markov decision processes with omega regular objectives":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "point based methods for model checking in partially observable markov decision processes")
  Member "looking at mean payoff and total payoff through windows":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "games where you can play optimally with finite memory")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.LO(Logic in Computer Science)