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: "termination criteria for solving concurrent safety and reachability games"
  Abstract: We consider concurrent games played on graphs. At every round of a game, each player simultaneously and independently selects a move; the moves jointly determine the transition to a successor state. Two basic objectives are the safety objective to stay forever in a given set of states, and its dual, the reachability objective to reach a given set of states. We present in this paper a strategy improvement algorithm for computing the value of a concurrent safety game, that is, the maximal probability with which player~1 can enforce the safety objective. The algorithm yields a sequence of player-1 strategies which ensure probabilities of winning that converge monotonically to the value of the safety game. #R##N#Our result is significant because the strategy improvement algorithm provides, for the first time, a way to approximate the value of a concurrent safety game from below. Since a value iteration algorithm, or a strategy improvement algorithm for reachability games, can be used to approximate the same value from above, the combination of both algorithms yields a method for computing a converging sequence of upper and lower bounds for the values of concurrent reachability and safety games. Previous methods could approximate the values of these games only from one direction, and as no rates of convergence are known, they did not provide a practical way to solve these games.

Connected through hyperedge HE-1 (induced by source paper "stopping criteria for value and strategy iteration on concurrent stochastic reachability games"):
  with members:
    - "sound value iteration"
    - "a storm is coming a modern probabilistic model checker"
    - "verification of markov decision processes using learning algorithms"
    - "strategy improvement for concurrent reachability and safety games"
    - "recursive concurrent stochastic games"

Connected through hyperedge HE-2 (induced by source paper "solving simple stochastic games with few random nodes faster using bland s rule"):
  with members:
    - "finding optimal strategies of almost acyclic simple stochatic games"
    - "a reduction from parity games to simple stochastic games"
    - "solving simple stochastic games with few coin toss positions"

Connected through hyperedge HE-3 (induced by source paper "a pseudo polynomial algorithm for mean payoff stochastic games with perfect information and few random positions"):
  with members:
    - "a convex programming based algorithm for mean payoff stochastic games with perfect information"
    - "a potential reduction algorithm for two person zero sum mean payoff stochastic games"
    - "polynomial time algorithms for energy games with special weight structures"
    - "solving simple stochastic games with few coin toss positions"

Connected through hyperedge HE-4 (induced by source paper "strategy improvement for concurrent reachability and safety games"):
  with members:
    - "the complexity of solving reachability games using value and strategy iteration"
    - "recursive concurrent stochastic games"

Connected through hyperedge HE-5 (induced by source paper "the complexity of solving reachability games using value and strategy iteration"):
  with members:
    - "exact algorithms for solving stochastic games"
    - "strategy improvement for concurrent safety games"
    - "recursive concurrent stochastic games"

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)