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: "safe platooning of unmanned aerial vehicles via reachability"
  Abstract: Recently, there has been immense interest in using unmanned aerial vehicles (UAVs) for civilian operations such as package delivery, firefighting, and fast disaster response. As a result, UAV traffic management systems are needed to support potentially thousands of UAVs flying simultaneously in the airspace, in order to ensure their liveness and safety requirements are met. Hamilton-Jacobi (HJ) reachability is a powerful framework for providing conditions under which these requirements can be met, and for synthesizing the optimal controller for meeting them. However, due to the curse of dimensionality, HJ reachability is only tractable for a small number of vehicles if their set of maneuvers is unrestricted. In this paper, we define a platoon to be a group of UAVs in a single-file formation. We model each vehicle as a hybrid system with modes corresponding to its role in the platoon, and specify the set of allowed maneuvers in each mode to make the analysis tractable. We propose several liveness controllers based on HJ reachability, and wrap a safety controller, also based on HJ reachability, around the liveness controllers. For a single altitude range, our approach guarantees safety for one safety breach; in the unlikely event of multiple safety breaches, safety can be guaranteed over multiple altitude ranges. We demonstrate the satisfaction of liveness and safety requirements through simulations of three common scenarios.

Connected through hyperedge HE-1 (induced by source paper "modeling cyber physical human systems via an interplay between reinforcement learning and game theory"):
  with members:
    - "a game theoretical framework for the evaluation of unmanned aircraft systems airspace integration concepts"
    - "reachability based safety and goal satisfaction of unmanned aerial platoons on air highways"
    - "provably safe and robust drone routing via sequential path planning a case study in san francisco and the bay area"
    - "game theoretic modeling of driver and vehicle interactions for verification and validation of autonomous vehicle control systems"
    - "cyber physical security a game theory model of humans interacting over control systems"
    - "counter factual reinforcement learning how to model decision makers that anticipate the future"
    - "game theoretic modeling of pilot behavior during mid air encounters"

Connected through hyperedge HE-2 (induced by source paper "verification for machine learning autonomy and neural networks survey"):
  with members:
    - "pragmatic pedagogic value alignment"
    - "deepgauge comprehensive and multi granularity testing criteria for gauging the robustness of deep learning systems"
    - "deep reinforcement learning for autonomous driving"
    - "a dual approach to scalable verification of deep networks"
    - "neural guided deductive search for real time program synthesis from examples"
    - "reachable set estimation and safety verification for piecewise linear systems with neural network controllers"
    - "reachable set estimation and verification for neural network models of nonlinear dynamic systems"
    - "testing deep neural networks"

Connected through hyperedge HE-3 (induced by source paper "a classification based approach for approximate reachability"):
  with members:
    - "reverse curriculum generation for reinforcement learning"
    - "neural network with unbounded activation functions is universal approximator"
    - "neural network dynamics for model based deep reinforcement learning with model free fine tuning"
    - "fastrack a modular framework for fast and guaranteed safe motion planning"
    - "hamilton jacobi reachability a brief overview and recent advances"
    - "learning quadrotor dynamics using neural network for flight control"
    - "using neural networks to compute approximate and guaranteed feasible hamilton jacobi bellman pde solutions"
    - "plato policy learning using adaptive trajectory optimization"

Connected through hyperedge HE-4 (induced by source paper "hamilton jacobi reachability a brief overview and recent advances"):
  with members:
    - "recursive regression with neural networks approximating the hji pde solution"
    - "a general safety framework for learning based control in uncertain robotic systems"
    - "reachability based safety and goal satisfaction of unmanned aerial platoons on air highways"
    - "fastrack a modular framework for fast and guaranteed safe motion planning"
    - "provably safe and robust drone routing via sequential path planning a case study in san francisco and the bay area"
    - "funnel libraries for real time robust feedback motion planning"
    - "using neural networks to compute approximate and guaranteed feasible hamilton jacobi bellman pde solutions"
    - "multi vehicle collision avoidance via hamilton jacobi reachability and mixed integer programming"

Connected through hyperedge HE-5 (induced by source paper "recursive regression with neural networks approximating the hji pde solution"):
  with members:
    - "end to end training of deep visuomotor policies"
    - "playing atari with deep reinforcement learning"

Connected through hyperedge HE-6 (induced by source paper "towards verified artificial intelligence"):
  with members:
    - "systematic testing of convolutional neural networks for autonomous driving"
    - "compositional falsification of cyber physical systems with machine learning components"
    - "concrete problems in ai safety"
    - "diagnosis and repair for synthesis from signal temporal logic specifications"
    - "constrained sampling and counting universal hashing meets sat solving"
    - "a theory of formal synthesis via inductive learning"
    - "analysis of classifiers robustness to adversarial perturbations"
    - "deepfool a simple and accurate method to fool deep neural networks"

Connected through hyperedge HE-7 (induced by source paper "computation of forward stochastic reach sets application to stochastic dynamic obstacle avoidance"):
  with members:
    - "discrete and continuous probabilistic anticipation for autonomous robots in urban environments"
    - "sampling based algorithms for optimal motion planning"

Connected through hyperedge HE-8 (induced by source paper "multi vehicle collision avoidance via hamilton jacobi reachability and mixed integer programming"):
  with members:
    - "safe sequential path planning of multi vehicle systems via double obstacle hamilton jacobi isaacs variational inequality"

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.SY(Systems and Control)