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 "from seeing to moving a survey on learning for visual indoor navigation vin"):
  Abstract: Visual Indoor Navigation (VIN) task has drawn increasing attentions from the data-driven machine learning communities especially with the recent reported success from learning-based methods. Due to the innate complexity of this task, researchers have tried approaching the problem from a variety of different angles, the full scope of which has not yet been captured within an overarching report. In this survey, we discuss the representative work of learning-based approaches for visual navigation and its related tasks. Firstly, we summarize the current work in terms of task representations and applied methods along with their properties. We then further identify and discuss lingering issues impeding the performance of VIN tasks and motivate future research in these key areas worth exploring in the future for the community.

Includes members:
  Member "walking with mind mental imagery enhanced embodied qa":
    also connected through other hyperedges:
      (none)
  Member "what should i do now marrying reinforcement learning and symbolic planning":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "alfred a benchmark for interpreting grounded instructions for everyday tasks")
  Member "are we making real progress in simulated environments measuring the sim2real gap in embodied visual navigation":
    also connected through other hyperedges:
      (none)
  Member "embodied question answering in photorealistic environments with point cloud perception":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "analyzing visual representations in embodied navigation tasks")
  Member "graph attention memory for visual navigation":
    also connected through other hyperedges:
      (none)
  Member "vision language navigation with self supervised auxiliary reasoning tasks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "vision dialog navigation by exploring cross modal memory")
  Member "multi target embodied question answering":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "reinforced active learning for image segmentation")
  Member "learning your way without map or compass panoramic target driven visual navigation":
    also connected through other hyperedges:
      (none)

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)