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: "hanabi is np complete even for cheaters who look at their cards"
  Abstract: This paper studies a cooperative card game called Hanabi from an algorithmic combinatorial game theory viewpoint. The aim of the game is to play cards from $1$ to $n$ in increasing order (this has to be done independently in $c$ different colors). Cards are drawn from a deck one by one. Drawn cards are either immediately played, discarded or stored for future use (overall each player can store up to $h$ cards). #R##N#We introduce a simplified mathematical model of a single-player version of the game, and show several complexity results: the game is intractable in a general setting, but becomes tractable (and even linear) in some interesting restricted cases (i.e., for small values of $h$ and $c$).

Connected through hyperedge HE-1 (induced by source paper "reachability games in dynamic epistemic logic"):
  with members:
    - "reasoning about knowledge and strategies under hierarchical information"
    - "cooperative epistemic multi agent planning for implicit coordination"
    - "games on graphs with a public signal monitoring"
    - "hanabi is np hard even for cheaters who look at their cards"
    - "hierarchical information and the synthesis of distributed strategies"
    - "automata techniques for epistemic protocol synthesis"
    - "the computational complexity of probabilistic planning"

Connected through hyperedge HE-2 (induced by source paper "np completeness of the game kingdomino"):
  with members:
    - "monte carlo methods for the game kingdomino"
    - "an aperiodic set of 11 wang tiles"
    - "bejeweled candy crush and other match three games are np hard"
    - "candy crush is np hard"
    - "the computational complexity of the game of set and its theoretical applications"
    - "domino tatami covering is np complete"
    - "classic nintendo games are computationally hard"

Connected through hyperedge HE-3 (induced by source paper "bayesian action decoder for deep multi agent reinforcement learning"):
  with members:
    - "the hanabi challenge a new frontier for ai research"
    - "human level performance in 3d multiplayer games with population based reinforcement learning"
    - "impala scalable distributed deep rl with importance weighted actor learner architectures"
    - "counterfactual multi agent policy gradients"
    - "a multi agent reinforcement learning model of common pool resource appropriation"
    - "population based training of neural networks"
    - "deepstack expert level artificial intelligence in heads up no limit poker"
    - "multi agent actor critic for mixed cooperative competitive environments"

Connected through hyperedge HE-4 (induced by source paper "evolving agents for the hanabi 2018 cig competition"):
  with members:
    - "evaluating and modelling hanabi playing agents"
    - "playing atari with deep reinforcement learning"

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.DM(Discrete Mathematics)