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: "glib exploration via goal literal babbling for lifted operator learning"
  Abstract: We address the problem of efficient exploration for learning lifted operators in sequential decision-making problems without extrinsic goals or rewards. Inspired by human curiosity, we propose goal-literal babbling (GLIB), a simple and general method for exploration in such problems. GLIB samples goals that are conjunctions of literals, which can be understood as specific, targeted effects that the agent would like to achieve in the world, and plans to achieve these goals using the operators being learned. We conduct a case study to elucidate two key benefits of GLIB: robustness to overly general preconditions and efficient exploration in domains with effects at long horizons. We also provide theoretical guarantees and further empirical results, finding GLIB to be effective on a range of benchmark planning tasks.

Connected through hyperedge HE-1 (induced by source paper "pddlgym gym environments from pddl problems"):
  with members:
    - "glue a multi task benchmark and analysis platform for natural language understanding"
    - "moleculenet a benchmark for molecular machine learning"
    - "planning with noisy probabilistic relational rules"
    - "learning partially observable deterministic action models"
    - "learning symbolic models of stochastic domains"

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.AI(Artificial Intelligence)