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 "sequential decomposition of dynamic games with asymmetric information and dependent states"):
  Abstract: We consider a finite-horizon dynamic game with asymmetric information with $N$ selfish players, where there exists an underlying state of the system that is a controlled Markov process, controlled by players' actions. In each period, a player makes a common observation of the state together with all the other players, and a private observation, and gets an instantaneous reward which is a function of the state and everyone's' actions. The players' private observations are conditionally independent across time, conditioned on the system state and players' previous actions, however, they are potentially correlated among players in each period. This observation model includes the case when players observe their rewards at the end of each period. We first solve the team version of this problem where users are cooperative i.e. have the same objective. Using these results as motivation for the definition of information state, we present a sequential decomposition methodology to compute \emph{structured perfect Bayesian equilibria} (SPBE) of this game, introduced in~[1]. In general, these equilibria exhibit \textit{signaling} behavior, i.e. players' actions reveal part of their private information that is payoff relevant to other users.

Includes members:
  Member "safe and nested subgame solving for imperfect information games":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "coordination in adversarial sequential team games via multi agent deep reinforcement learning")
  Member "decentralized bayesian learning in dynamic games":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "signaling equilibria in mean field games")
  Member "dynamic games with asymmetric information common information based perfect bayesian equilibria and sequential decomposition":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "signaling equilibria in mean field games")
  Member "decentralized stochastic control with partial history sharing a common information approach":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "regret bounds for decentralized learning in cooperative multi agent dynamical systems")
  Member "optimal decentralized control of coupled subsystems with control sharing":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "optimal local and remote controllers with unreliable uplink channels")

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.GT(Computer Science and Game Theory)