human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "robust synchronization in markov decision processes"
  Abstract: We consider synchronizing properties of Markov decision processes (MDP), viewed as generators of sequences of probability distributions over states. A probability distribution is p-synchronizing if the probability mass is at least p in some state, and a sequence of probability distributions is weakly p-synchronizing, or strongly p-synchronizing if respectively infinitely many, or all but finitely many distributions in the sequence are p-synchronizing. #R##N#For each synchronizing mode, an MDP can be (i) sure winning if there is a strategy that produces a 1-synchronizing sequence; (ii) almost-sure winning if there is a strategy that produces a sequence that is, for all {\epsilon} > 0, a (1-{\epsilon})-synchronizing sequence; (iii) limit-sure winning if for all {\epsilon} > 0, there is a strategy that produces a (1-{\epsilon})-synchronizing sequence. #R##N#For each synchronizing and winning mode, we consider the problem of deciding whether an MDP is winning, and we establish matching upper and lower complexity bounds of the problems, as well as the optimal memory requirement for winning strategies: (a) for all winning modes, we show that the problems are PSPACE-complete for weakly synchronizing, and PTIME-complete for strongly synchronizing; (b) we show that for weakly synchronizing, exponential memory is sufficient and may be necessary for sure winning, and infinite memory is necessary for almost-sure winning; for strongly synchronizing, linear-size memory is sufficient and may be necessary in all modes; (c) we show a robustness result that the almost-sure and limit-sure winning modes coincide for both weakly and strongly synchronizing.

Connected through hyperedge HE-1 (induced by source paper "on the complexity of value iteration"):
  with members:
    - "sound value iteration"
    - "the reachability problem for petri nets is not elementary"
    - "variance reduced value iteration and faster algorithms for solving markov decision processes"
    - "value iteration networks"
    - "the complexity of the simplex method"
    - "on the complexity of solving markov decision problems"
    - "on the complexity of policy iteration"
    - "the complexity of plan existence and evaluation in probabilistic domains"

Connected through hyperedge HE-2 (induced by source paper "distribution based objectives for markov decision processes"):
  with members:
    - "controlling a population"
    - "on the polytope escape problem for continuous linear dynamical systems"
    - "ultimate positivity is decidable for simple linear recurrence sequences"
    - "infinite synchronizing words for probabilistic automata erratum"
    - "decidable problems for probabilistic automata on infinite words"

Connected through hyperedge HE-3 (induced by source paper "the power of convex algebras"):
  with members:
    - "termination in convex sets of distributions"
    - "a convenient category for higher order probability theory"
    - "high level counterexamples for probabilistic automata"
    - "probabilistic bisimulation naturally on distributions"
    - "coinduction up to in a fibrational setting"
    - "when equivalence and bisimulation join forces in probabilistic automata"
    - "church a language for generative models"
    - "relating coalgebraic notions of bisimulation"

Connected through hyperedge HE-4 (induced by source paper "controlling a population"):
  with members:
    - "automatic analysis of expected termination time for population protocols"
    - "fixed dimensional energy games are in pseudo polynomial time"
    - "infinite synchronizing words for probabilistic automata erratum"
    - "reachability games on extended vector addition systems with states"

Connected through hyperedge HE-5 (induced by source paper "computation tree logic for synchronization properties"):
  with members:
    - "a temporal logic for hyperproperties"

Connected through hyperedge HE-6 (induced by source paper "probabilistic bisimulation naturally on distributions"):
  with members:
    - "when equivalence and bisimulation join forces in probabilistic automata"
    - "bisimulations meet pctl equivalences for probabilistic automata"
    - "late weak bisimulation for markov automata"
    - "deciding probabilistic automata weak bisimulation in polynomial time"
    - "mean field for markov decision processes from discrete to continuous optimization"
    - "qualitative analysis of partially observable markov decision processes"

Question: Please tell me which class the center node 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.GT(Computer Science and Game Theory)