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 "team behavior in interactive dynamic influence diagrams with applications to ad hoc teams"):
  Abstract: Planning for ad hoc teamwork is challenging because it involves agents collaborating without any prior coordination or communication. The focus is on principled methods for a single agent to cooperate with others. This motivates investigating the ad hoc teamwork problem in the context of individual decision making frameworks. However, individual decision making in multiagent settings faces the task of having to reason about other agents' actions, which in turn involves reasoning about others. An established approximation that operationalizes this approach is to bound the infinite nesting from below by introducing level 0 models. We show that a consequence of the finitely-nested modeling is that we may not obtain optimal team solutions in cooperative settings. We address this limitation by including models at level 0 whose solutions involve learning. We demonstrate that the learning integrated into planning in the context of interactive dynamic influence diagrams facilitates optimal team behavior, and is applicable to ad hoc teamwork.

Includes members:
  Member "learning finite state controllers for partially observable environments":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "counterexample guided strategy improvement for pomdps using recurrent neural networks")
  Member "interactive pomdp lite towards practical planning to predict and exploit intentions for interacting with self interested agents":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "interactive decision making for autonomous vehicles in dense traffic")
  Member "exploiting model equivalences for solving interactive dynamic influence diagrams":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "autonomous agents modelling other agents a comprehensive survey and open problems")
  Member "improved memory bounded dynamic programming for decentralized pomdps":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "on solving cooperative marl problems with a few good experiences")
  Member "the communicative multiagent team decision problem analyzing teamwork theories and models":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "learning multi agent communication under limited bandwidth restriction for internet packet routing")

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.MA(Multiagent Systems)