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 "a framework for rate efficient control of distributed discrete systems"):
  Abstract: A key issue in the control of distributed discrete systems modeled as Markov decisions processes, is that often the state of the system is not directly observable at any single location in the system. The participants in the control scheme must share information with one another regarding the state of the system in order to collectively make informed control decisions, but this information sharing can be costly. Harnessing recent results from information theory regarding distributed function computation, in this paper we derive, for several information sharing model structures, the minimum amount of control information that must be exchanged to enable local participants to derive the same control decisions as an imaginary omniscient controller having full knowledge of the global state. Incorporating consideration for this amount of information that must be exchanged into the reward enables one to trade the competing objectives of minimizing this control information exchange and maximizing the performance of the controller. An alternating optimization framework is then provided to help find the efficient controllers and messaging schemes. A series of running examples from wireless resource allocation illustrate the ideas and design tradeoffs.

Includes members:
  Member "interactive scalar quantization for distributed resource allocation":
    also connected through other hyperedges:
      (none)
  Member "overhead performance tradeoffs a resource allocation perspective":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "interactive scalar quantization for distributed resource allocation")
  Member "distributed function computation over a rooted directed tree":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "zero error function computation on a directed acyclic network")
  Member "the complexity of decentralized control of markov decision processes":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "human level performance in 3d multiplayer games with population based reinforcement learning")
  Member "maa a heuristic search algorithm for solving decentralized pomdps":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a deep actor critic reinforcement learning framework for dynamic multichannel access")
  Member "anytime reliable codes for stabilizing plants over erasure channels":
    also connected through other hyperedges:
      (none)
  Member "optimal and approximate q value functions for decentralized pomdps":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "deep multi agent reinforcement learning for decentralized continuous cooperative control")
  Member "rateless coding for gaussian channels":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "capacity achieving rateless polar codes")

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.IT(Information Theory)