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 "state continuity approximation of markov decision processes via finite element analysis for autonomous system planning"):
  Abstract: Motion planning under uncertainty for an autonomous system can be formulated as a Markov Decision Process. In this paper, we propose a solution to this decision theoretic planning problem using a continuous approximation of the underlying discrete value function and leveraging finite element methods. This approach allows us to obtain an accurate and continuous form of value function even with a small number of states from a very low resolution of state space. We achieve this by taking advantage of the second order Taylor expansion to approximate the value function, where the value function is modeled as a boundary-conditioned partial differential equation which can be naturally solved using a finite element method. We have validated our approach via extensive simulations, and the evaluations reveal that our solution provides continuous value functions, leading to better path results in terms of path smoothness, travel distance and time costs, even with a smaller state space.

Includes members:
  Member "data driven learning and planning for environmental sampling":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "multi modal active perception for information gathering in science missions")
  Member "optimal and learning control for autonomous robots":
    also connected through other hyperedges:
      (none)
  Member "a solution to time varying markov decision processes":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "efficient optimal planning in non fifo time dependent flow fields")
  Member "decision theoretic planning structural assumptions and computational leverage":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "optimal by design model driven synthesis of adaptation strategies for autonomous systems")

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.RO(Robotics)