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 "inferring and learning multi robot policies by observing an expert"):
  Abstract: In this paper we present a technique for learning how to solve a multi-robot mission that requires interaction with an external environment by repeatedly observing an expert system executing the same mission. We define the expert system as a team of robots equipped with a library of controllers, each designed to solve a specific task, supervised by an expert policy that appropriately selects controllers based on the states of robots and environment. The objective is for an un-trained team of robots equipped with the same library of controllers, but agnostic to the expert policy, to execute the mission, with performances comparable to those of the expert system. From observations of the expert system, the Interactive Multiple Model technique is used to estimate individual controllers executed by the expert policy. Then, the history of estimated controllers and environmental state is used to learn a policy for the un-trained robots. Considering a perimeter protection scenario on a team of simulated differential-drive robots, we show that the learned policy endows the un-trained team with performances comparable to those of the expert system.

Includes members:
  Member "multi robot deep reinforcement learning with macro actions":
    also connected through other hyperedges:
      (none)
  Member "a reinforcement learning framework for sequencing multi robot behaviors":
    also connected through other hyperedges:
      (none)
  Member "resilience by reconfiguration exploiting heterogeneity in robot teams":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a sequential composition framework for coordinating multi robot behaviors")
  Member "a sequential composition framework for coordinating multi robot behaviors":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a reinforcement learning framework for sequencing multi robot behaviors")
  Member "fault tolerant control for networked mobile robots":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a sequential composition framework for coordinating multi robot behaviors")
  Member "multi agent imitation learning for driving simulation":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "multi agent interactions modeling with correlated policies")
  Member "imitation from observation learning to imitate behaviors from raw video via context translation":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "visual task progress estimation with appearance invariant embeddings for robot control and planning")
  Member "time contrastive networks self supervised learning from video":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "learning precise 3d manipulation from multiple uncalibrated cameras")

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.RO(Robotics)