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 "hamilton jacobi reachability a brief overview and recent advances"):
  Abstract: Hamilton-Jacobi (HJ) reachability analysis is an important formal verification method for guaranteeing performance and safety properties of dynamical systems; it has been applied to many small-scale systems in the past decade. Its advantages include compatibility with general nonlinear system dynamics, formal treatment of bounded disturbances, and the availability of well-developed numerical tools. The main challenge is addressing its exponential computational complexity with respect to the number of state variables. In this tutorial, we present an overview of basic HJ reachability theory and provide instructions for using the most recent numerical tools, including an efficient GPU-parallelized implementation of a Level Set Toolbox for computing reachable sets. In addition, we review some of the current work in high-dimensional HJ reachability to show how the dimensionality challenge can be alleviated via various general theoretical and application-specific insights.

Includes members:
  Member "recursive regression with neural networks approximating the hji pde solution":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "guarding a subspace in high dimensional space with two defenders and one attacker")
  Member "a general safety framework for learning based control in uncertain robotic systems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "learning to walk in the real world with minimal human effort")
  Member "reachability based safety and goal satisfaction of unmanned aerial platoons on air highways":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "ttr based rewards for reinforcement learning with implicit model priors")
  Member "fastrack a modular framework for fast and guaranteed safe motion planning":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "safety considerations in deep control policies with safety barrier certificates under uncertainty")
  Member "provably safe and robust drone routing via sequential path planning a case study in san francisco and the bay area":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "an efficient reachability based framework for provably safe autonomous navigation in unknown environments")
  Member "funnel libraries for real time robust feedback motion planning":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "probably approximately correct vision based planning using motion primitives")
  Member "using neural networks to compute approximate and guaranteed feasible hamilton jacobi bellman pde solutions":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a classification based approach for approximate reachability")
  Member "multi vehicle collision avoidance via hamilton jacobi reachability and mixed integer programming":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "ttr based rewards for reinforcement learning with implicit model priors")

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.SY(Systems and Control)