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: "qualitative analysis of pomdps with temporal logic specifications for robotics applications"
  Abstract: We consider partially observable Markov decision processes (POMDPs), that are a standard framework for robotics applications to model uncertainties present in the real world, with temporal logic specifications. All temporal logic specifications in linear-time temporal logic (LTL) can be expressed as parity objectives. We study the qualitative analysis problem for POMDPs with parity objectives that asks whether there is a controller (policy) to ensure that the objective holds with probability 1 (almost-surely). While the qualitative analysis of POMDPs with parity objectives is undecidable, recent results show that when restricted to finite-memory policies the problem is EXPTIME-complete. While the problem is intractable in theory, we present a practical approach to solve the qualitative analysis problem. We designed several heuristics to deal with the exponential complexity, and have used our implementation on a number of well-known POMDP examples for robotics applications. Our results provide the first practical approach to solve the qualitative analysis of robot motion planning with LTL properties in the presence of uncertainty.

Connected through hyperedge HE-1 (induced by source paper "point based methods for model checking in partially observable markov decision processes"):
  with members:
    - "verification of uncertain pomdps using barrier certificates"
    - "bounded policy synthesis for pomdps with safe reachability objectives"
    - "a storm is coming a modern probabilistic model checker"
    - "inverse reward design"
    - "a learning based approach to control synthesis of markov decision processes for linear temporal logic specifications"
    - "what is decidable about partially observable markov decision processes with omega regular objectives"
    - "a theory of goal oriented mdps with dead ends"
    - "heuristic search value iteration for pomdps"

Connected through hyperedge HE-2 (induced by source paper "strategy synthesis in pomdps via game based abstractions"):
  with members:
    - "human in the loop synthesis for partially observable markov decision processes"
    - "counterexample guided abstraction refinement for pomdps"
    - "a storm is coming a modern probabilistic model checker"
    - "motion planning under partial observability using game based abstraction"
    - "reinforcement learning of pomdps using spectral methods"
    - "optimal cost almost sure reachability in pomdps"
    - "discretized approximations for pomdp with average cost"
    - "control of probabilistic systems under dynamic partially known environments with temporal logic specifications"

Connected through hyperedge HE-3 (induced by source paper "human in the loop synthesis for partially observable markov decision processes"):
  with members:
    - "permissive finite state controllers of pomdps using parameter synthesis"
    - "a storm is coming a modern probabilistic model checker"
    - "motion planning under partial observability using game based abstraction"
    - "synthesis of shared control protocols with provable safety and performance guarantees"
    - "high level counterexamples for probabilistic automata"
    - "optimal cost almost sure reachability in pomdps"
    - "solving pomdps by searching the space of finite policies"
    - "heuristic search value iteration for pomdps"

Connected through hyperedge HE-4 (induced by source paper "pomdp model learning for human robot collaboration"):
  with members:
    - "verification of uncertain pomdps using barrier certificates"
    - "privacy verification in pomdps via barrier certificates"
    - "a learning based optimal human robot collaboration with linear temporal logic constraints"
    - "efficient model learning from joint action demonstrations for human robot collaborative tasks"
    - "probably approximately correct mdp learning and control with temporal logic constraints"

Connected through hyperedge HE-5 (induced by source paper "bounded policy synthesis for pomdps with safe reachability objectives"):
  with members:
    - "a symbolic sat based algorithm for almost sure reachability with small strategies in pomdps"

Connected through hyperedge HE-6 (induced by source paper "sensor synthesis for pomdps with reachability objectives"):
  with members:
    - "a mathematical theory of co design"
    - "a symbolic sat based algorithm for almost sure reachability with small strategies in pomdps"
    - "a theory of goal oriented mdps with dead ends"
    - "heuristic search value iteration for pomdps"
    - "qualitative analysis of partially observable markov decision processes"
    - "algorithms for omega regular games with imperfect information"
    - "reinforcement learning a survey"

Connected through hyperedge HE-7 (induced by source paper "motion planning under partial observability using game based abstraction"):
  with members:
    - "counterexample guided abstraction refinement for pomdps"
    - "a storm is coming a modern probabilistic model checker"
    - "optimal cost almost sure reachability in pomdps"
    - "discretized approximations for pomdp with average cost"
    - "control of probabilistic systems under dynamic partially known environments with temporal logic specifications"
    - "partial observation stochastic games how to win when belief fails"

Connected through hyperedge HE-8 (induced by source paper "norm conflict resolution in stochastic domains"):
  with members:
    - "interpretable apprenticeship learning with temporal logic specifications"
    - "robust satisfaction of temporal logic specifications via reinforcement learning"
    - "mdp optimal control under temporal logic constraints"
    - "on graphical modeling of preference and importance"

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.LO(Logic in Computer Science)