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 "control from signal temporal logic specifications with smooth cumulative quantitative semantics"):
  Abstract: We present a framework to synthesize control policies for nonlinear dynamical systems from complex temporal constraints specified in a rich temporal logic called Signal Temporal Logic (STL). We propose a novel smooth and differentiable STL quantitative semantics called cumulative robustness, and efficiently compute control policies through a series of smooth optimization problems that are solved using gradient ascent algorithms. Furthermore, we demonstrate how these techniques can be incorporated in a model predictive control framework in order to synthesize control policies over long time horizons. The advantages of combining the cumulative robustness function with smooth optimization methods as well as model predictive control are illustrated in case studies.

Includes members:
  Member "a policy search method for temporal logic specified reinforcement learning tasks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "control synthesis from linear temporal logic specifications using model free reinforcement learning")
  Member "an milp approach for real time optimal controller synthesis with metric temporal logic specifications":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "average based robustness for continuous time signal temporal logic")
  Member "robotic swarm control from spatio temporal specifications":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "policy synthesis for factored mdps with graph temporal logic specifications")
  Member "temporal logic as filtering":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "arithmetic geometric mean robustness for control from signal temporal logic specifications")
  Member "on line monitoring for temporal logic robustness":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "tractable reinforcement learning of signal temporal logic objectives")

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)