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: "zero shot generalization using cascaded system representations"
  Abstract: This paper proposes a new framework named CASNET to learn control policies that generalize over similar robot types with different morphologies. The proposed framework leverages the structural similarities in robots to learn general-purpose system-representations. These representations can then be used with the choice of learning algorithms to learn policies that generalize over different robots. The learned policies can be used to design general-purpose robot-controllers that are applicable to a wide variety of robots. We demonstrate the effectiveness of the proposed framework by learning control policies for two separate domains: planer manipulation and legged locomotion. The policy learned for planer manipulation is capable of controlling planer manipulators with varying degrees of freedom and link-lengths. For legged locomotion, the learned policy generalizes over different morphologies of the crawling robots. These policies perform on-par with the expert policies trained for individual robot models and achieves zero-shot generalization on models unseen during training, establishing that the final performance of the general policy is bottlenecked by the learning algorithm rather than the proposed framework.

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)