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 partially observable markov decision processes"
  Abstract: We study observation-based strategies for partially-observable Markov decision processes (POMDPs) with parity objectives. An observation-based strategy relies on partial information about the history of a play, namely, on the past sequence of observations. We consider qualitative analysis problems: given a POMDP with a parity objective, decide whether there exists an observation-based strategy to achieve the objective with probability 1 (almost-sure winning), or with positive probability (positive winning). Our main results are twofold. First, we present a complete picture of the computational complexity of the qualitative analysis problem for POMDPs with parity objectives and its subclasses: safety, reachability, Buchi, and coBuchi objectives. We establish several upper and lower bounds that were not known in the literature. Second, we give optimal bounds (matching upper and lower bounds) for the memory required by pure and randomized observation-based strategies for each class of objectives.

Connected through hyperedge HE-1 (induced by source paper "stochastic finite state control of pomdps with ltl specifications"):
  with members:
    - "counterexample guided strategy improvement for pomdps using recurrent neural networks"
    - "the partially observable games we play for cyber deception"
    - "bounded policy synthesis for pomdps with safe reachability objectives"
    - "optimal control of mdps with temporal logic constraints"

Connected through hyperedge HE-2 (induced by source paper "parameter independent strategies for pmdps via pomdps"):
  with members:
    - "sea param exploring schedulers in parametric mdps"
    - "sequential convex programming for the efficient verification of parametric mdps"
    - "automated experiment design for data efficient verification of parametric markov decision processes"
    - "a storm is coming a modern probabilistic model checker"
    - "ares adaptive receding horizon synthesis of optimal plans"
    - "parameter synthesis for markov models faster than ever"
    - "a symbolic sat based algorithm for almost sure reachability with small strategies in pomdps"
    - "optimal cost almost sure reachability in pomdps"

Connected through hyperedge HE-3 (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"
    - "qualitative analysis of pomdps with temporal logic specifications for robotics applications"
    - "a theory of goal oriented mdps with dead ends"
    - "heuristic search value iteration for pomdps"
    - "algorithms for omega regular games with imperfect information"
    - "reinforcement learning a survey"

Connected through hyperedge HE-4 (induced by source paper "model and objective separation with conditional lower bounds disjunction is harder than conjunction"):
  with members:
    - "finding 2 edge and 2 vertex strongly connected components in quadratic time"
    - "quadratic conditional lower bounds for string problems and dynamic time warping"
    - "approximation and fixed parameter subquadratic algorithms for radius and diameter"
    - "why walking the dog takes time frechet distance has no strongly subquadratic algorithms unless seth fails"
    - "powers of tensors and fast matrix multiplication"
    - "edit distance cannot be computed in strongly subquadratic time unless seth is false"
    - "improved algorithms for one pair and k pair streett objectives"
    - "faster all pairs shortest paths via circuit complexity"

Connected through hyperedge HE-5 (induced by source paper "stochastic shortest path with energy constraints in pomdps"):
  with members:
    - "counterexample explanation by learning small strategies in markov decision processes"
    - "optimal cost almost sure reachability in pomdps"
    - "solving pomdps by searching the space of finite policies"
    - "efficient controller synthesis for consumption games with multiple resource types"
    - "heuristic search value iteration for pomdps"
    - "energy and mean payoff parity markov decision processes"

Connected through hyperedge HE-6 (induced by source paper "memory lens how much memory does an agent use"):
  with members:
    - "improved information gain estimates for decision tree induction"

Connected through hyperedge HE-7 (induced by source paper "a symbolic sat based algorithm for almost sure reachability with small strategies in pomdps"):
  with members:
    - "optimal cost almost sure reachability in pomdps"
    - "qualitative analysis of pomdps with temporal logic specifications for robotics applications"
    - "heuristic search value iteration for pomdps"
    - "algorithms for omega regular games with imperfect information"
    - "reinforcement learning a survey"

Connected through hyperedge HE-8 (induced by source paper "further improvements of determinization methods for fuzzy finite automata"):
  with members:
    - "supervisory control of fuzzy discrete event systems for simulation equivalence"
    - "brzozowski type determinization for fuzzy automata"
    - "determinization of fuzzy automata by means of the degrees of language inclusion"
    - "a possibilistic model for qualitative sequential decision problems under uncertainty in partially observable environments"
    - "pomdps under probabilistic semantics"
    - "qualitative possibilistic mixed observable mdps"
    - "decidability of minimization of fuzzy automata"
    - "computation of the greatest simulations and bisimulations between fuzzy automata"

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)