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: "state of buchi complementation"
  Abstract: Complementation of Buchi automata has been studied for over five decades since the formalism was introduced in 1960. Known complementation constructions can be classified into Ramsey-based, determinization-based, rank-based, and slice-based ap- proaches. Regarding the performance of these approaches, there have been several com- plexity analyses but very few experimental results. What especially lacks is a comparative experiment on all of the four approaches to see how they perform in practice. In this paper, we review the four approaches, propose several optimization heuristics, and perform com- parative experimentation on four representative constructions that are considered the most efficient in each approach. The experimental results show that (1) the determinization- based Safra-Piterman construction outperforms the other three in producing smaller com- plements and finishing more tasks in the allocated time and (2) the proposed heuristics substantially improve the Safra-Piterman and the slice-based constructions.

Connected through hyperedge HE-1 (induced by source paper "good for mdps automata for probabilistic analysis and reinforcement learning"):
  with members:
    - "omega regular objectives in model free reinforcement learning"
    - "proximal policy optimization algorithms"
    - "adam a method for stochastic optimization"
    - "determinising parity automata"
    - "lazy probabilistic model checking without determinisation"

Connected through hyperedge HE-2 (induced by source paper "good for mdps automata"):
  with members:
    - "omega regular objectives in model free reinforcement learning"
    - "lazy probabilistic model checking without determinisation"
    - "ltl to b uchi automata translation fast and more deterministic"

Connected through hyperedge HE-3 (induced by source paper "termination analysis by learning terminating programs"):
  with members:
    - "ranking templates for linear loops"
    - "linear ranking for linear lasso programs"
    - "proving termination starting from the end"
    - "buchi complementation and size change termination"
    - "size change termination monotonicity constraints and ranking functions"

Connected through hyperedge HE-4 (induced by source paper "profile trees for buchi word automata with application to determinization"):
  with members:
    - "unifying buchi complementation constructions"
    - "deterministic automata for the f g fragment of ltl"
    - "b uchi complementation made tight"
    - "from nondeterministic b uchi and streett automata to deterministic parity automata"

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

Connected through hyperedge HE-6 (induced by source paper "learn with sat to minimize buchi automata"):
  with members:
    - "minimisation of deterministic parity and buchi automata and relative minimisation of deterministic finite automata"
    - "from nondeterministic b uchi and streett automata to deterministic parity automata"

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.FL(Formal Languages and Automata Theory)