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 "goal conditioned end to end visuomotor control for versatile skill primitives"):
  Abstract: Visuomotor control (VMC) is an effective means of achieving basic manipulation tasks such as pushing or pick-and-place from raw images. Conditioning VMC on desired goal states is a promising way of achieving versatile skill primitives. However, common conditioning schemes either rely on task-specific fine tuning (e.g. using meta-learning) or on sampling approaches using a forward model of scene dynamics i.e. model-predictive control, leaving deployability and planning horizon severely limited. In this paper we propose a conditioning scheme which avoids these pitfalls by learning the controller and its conditioning in an end-to-end manner. Our model predicts complex action sequences based directly on a dynamic image representation of the robot motion and the distance to a given target observation. In contrast to related works, this enables our approach to efficiently perform complex pushing and pick-and-place tasks from raw image observations without predefined control primitives. We report significant improvements in task success over a representative model-predictive controller and also demonstrate our model's generalisation capabilities in challenging, unseen tasks handling unfamiliar objects.

Includes members:
  Member "monte carlo tree search for efficient visually guided rearrangement planning":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "multi object rearrangement with monte carlo tree search a case study on planar nonprehensile sorting")
  Member "hierarchical foresight self supervised learning of long horizon tasks via visual subgoal generation":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "hallucinative topological memory for zero shot visual planning")
  Member "object centric forward modeling for model predictive control":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the surprising effectiveness of linear models for visual foresight in object pile manipulation")
  Member "good robot efficient reinforcement learning for multi step visual tasks via reward shaping":
    also connected through other hyperedges:
      (none)
  Member "improvisation through physical understanding using novel objects as tools with visual foresight":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "learning predictive models from observation and interaction")
  Member "unsupervised visuomotor control through distributional planning networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "learning task driven control policies via information bottlenecks")
  Member "universal planning networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "learning functionally decomposed hierarchies for continuous control tasks")
  Member "reasoning about physical interactions with object oriented prediction and planning":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "the next decade in ai four steps towards robust artificial intelligence")

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)