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: "solving simple stochastic games with few coin toss positions"
  Abstract: Gimbert and Horn gave an algorithm for solving simple stochastic games with running time O(r! n) where n is the number of positions of the simple stochastic game and r is the number of its coin toss positions. Chatterjee et al. pointed out that a variant of strategy iteration can be implemented to solve this problem in time 4^r r^{O(1)} n^{O(1)}. In this paper, we show that an algorithm combining value iteration with retrograde analysis achieves a time bound of O(r 2^r (r log r + n)), thus improving both time bounds. While the algorithm is simple, the analysis leading to this time bound is involved, using techniques of extremal combinatorics to identify worst case instances for the algorithm.

Connected through hyperedge HE-1 (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"
    - "termination criteria for solving concurrent safety and reachability games"

Connected through hyperedge HE-2 (induced by source paper "strategy complexity of concurrent stochastic games with safety and reachability objectives"):
  with members:
    - "the complexity of ergodic mean payoff games"
    - "exact algorithms for solving stochastic games"
    - "randomness for free"
    - "the complexity of solving reachability games using value and strategy iteration"

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"
    - "termination criteria for solving concurrent safety and reachability games"

Connected through hyperedge HE-4 (induced by source paper "the complexity of ergodic mean payoff games"):
  with members:
    - "exact algorithms for solving stochastic games"
    - "an exponential lower bound for the latest deterministic strategy iteration algorithms"
    - "the complexity of solving reachability games using value and strategy iteration"
    - "exponential lower bounds for policy iteration"
    - "recursive concurrent stochastic games"
    - "stochastic limit average games are in exptime"

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)