human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "semantic labelling and learning for parity game solving in ltl synthesis"):
  Abstract: We propose "semantic labelling" as a novel ingredient for solving games in the context of LTL synthesis. It exploits recent advances in the automata-based approach, yielding more information for each state of the generated parity game than the game graph can capture. We utilize this extra information to improve standard approaches as follows. (i) Compared to strategy improvement (SI) with random initial strategy, a more informed initialization often yields a winning strategy directly without any computation. (ii) This initialization makes SI also yield smaller solutions. (iii) While Q-learning on the game graph turns out not too efficient, Q-learning with the semantic information becomes competitive to SI. Since already the simplest heuristics achieve significant improvements the experimental results demonstrate the utility of semantic labelling. This extra information opens the door to more advanced learning approaches both for initialization and improvement of strategies.

Includes members:
  Member "bosy an experimentation framework for bounded synthesis":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "fbsat automatic inference of minimal finite state models of function blocks using sat solver")
  Member "oink an implementation and evaluation of modern parity game solvers":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a universal attractor decomposition algorithm for parity games")
  Member "the 4th reactive synthesis competition syntcomp 2017 benchmarks participants results":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the challenges in specifying and explaining synthesized implementations of reactive systems")
  Member "efficient parallel strategy improvement for parity games":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "parity games zielonka s algorithm in quasi polynomial time")
  Member "from ltl and limit deterministic b uchi automata to deterministic parity automata":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "practical synthesis of reactive systems from ltl specifications via parity games")
  Member "an automaton learning approach to solving safety games over infinite graphs":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "optimally resilient strategies in pushdown safety games")
  Member "from ltl to deterministic automata a safraless compositional approach":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "near linear time algorithms for streett objectives in graphs and mdps")
  Member "from nondeterministic b uchi and streett automata to deterministic parity automata":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "cautious reinforcement learning with logical constraints")

Question: Please tell me which class the source paper 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.LO(Logic in Computer Science)