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: "neural network memory architectures for autonomous robot navigation"
  Abstract: Author(s): Chen, Steven; Atanasov, Nikolay; Khan, Arbaaz; Karydis, Konstantinos; Lee, David; Kumar, Vijay

Connected through hyperedge HE-1 (induced by source paper "learning sample efficient target reaching for mobile robots"):
  with members:
    - "neural map structured memory for deep reinforcement learning"
    - "hybrid reward architecture for reinforcement learning"
    - "memory augmented control networks"
    - "cognitive mapping and planning for visual navigation"
    - "extending the openai gym for robotics a toolkit for reinforcement learning using ros and gazebo"
    - "reinforcement learning with unsupervised auxiliary tasks"
    - "asynchronous methods for deep reinforcement learning"
    - "value iteration networks"

Connected through hyperedge HE-2 (induced by source paper "memory augmented control networks"):
  with members:
    - "learning visual servoing with deep features and fitted q iteration"
    - "neural map structured memory for deep reinforcement learning"
    - "neural slam learning to explore with external memory"
    - "cognitive mapping and planning for visual navigation"
    - "learning transferable policies for monocular reactive mav control"
    - "asynchronous methods for deep reinforcement learning"
    - "value iteration networks"
    - "control of memory active perception and action in minecraft"

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.RO(Robotics)