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: "strategy iteration using non deterministic strategies for solving parity games"
  Abstract: This article extends the idea of solving parity games by strategy iteration to non-deterministic strategies: In a non-deterministic strategy a player restricts himself to some non-empty subset of possible actions at a given node, instead of limiting himself to exactly one action. We show that a strategy-improvement algorithm by by Bjoerklund, Sandberg, and Vorobyov can easily be adapted to the more general setting of non-deterministic strategies. Further, we show that applying the heuristic of "all profitable switches" leads to choosing a "locally optimal" successor strategy in the setting of non-deterministic strategies, thereby obtaining an easy proof of an algorithm by Schewe. In contrast to the algorithm by Bjoerklund et al., we present our algorithm directly for parity games which allows us to compare it to the algorithm by Jurdzinski and Voege: We show that the valuations used in both algorithm coincide on parity game arenas in which one player can "surrender". Thus, our algorithm can also be seen as a generalization of the one by Jurdzinski and Voege to non-deterministic strategies. Finally, using non-deterministic strategies allows us to show that the number of improvement steps is bound from above by O(1.724^n). For strategy-improvement algorithms, this bound was previously only known to be attainable by using randomization.

Connected through hyperedge HE-1 (induced by source paper "practical synthesis of reactive systems from ltl specifications via parity games"):
  with members:
    - "the 5th reactive synthesis competition syntcomp 2018 benchmarks participants results"
    - "bosy an experimentation framework for bounded synthesis"
    - "bounded synthesis of reactive programs"
    - "one theorem to rule them all a unified translation of ltl into ω automata"
    - "the 4th reactive synthesis competition syntcomp 2017 benchmarks participants results"
    - "ltl to deterministic emerson lei automata"
    - "from ltl and limit deterministic b uchi automata to deterministic parity automata"
    - "synthesizing functional reactive programs"

Connected through hyperedge HE-2 (induced by source paper "oink an implementation and evaluation of modern parity game solvers"):
  with members:
    - "efficient parallel strategy improvement for parity games"
    - "an ordered approach to solving parity games in quasi polynomial time and quasi linear space"
    - "succinct progress measures for solving parity games"
    - "a delayed promotion policy for parity games"
    - "improvement in small progress measures"
    - "generating and solving symbolic parity games"
    - "benchmarks for parity games"
    - "zielonka s recursive algorithm dull weak and solitaire games and tighter bounds"

Connected through hyperedge HE-3 (induced by source paper "efficient strategy iteration for mean payoff in markov decision processes"):
  with members:
    - "value iteration for long run average reward in markov decision processes"
    - "efficient parallel strategy improvement for parity games"
    - "synthesising strategy improvement and recursive algorithms for solving 2 5 player parity games"
    - "multigain a controller synthesis tool for mdps with multiple mean payoff objectives"
    - "verification of markov decision processes using learning algorithms"
    - "parametric strategy iteration"
    - "assume guarantee abstraction refinement for probabilistic systems"
    - "using strategy improvement to stay alive"

Connected through hyperedge HE-4 (induced by source paper "efficient parallel strategy improvement for parity games"):
  with members:
    - "the complexity of all switches strategy improvement"
    - "benchmarks for parity games"
    - "an exponential lower bound for the latest deterministic strategy iteration algorithms"

Connected through hyperedge HE-5 (induced by source paper "measuring permissiveness in parity games mean payoff parity games revisited"):
  with members:
    - "generalized mean payoff and energy games"
    - "energy parity games"
    - "better quality in synthesis through quantitative objectives"

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)