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: "one counter markov decision processes"
  Abstract: We study the computational complexity of central analysis problems for One-Counter Markov Decision Processes (OC-MDPs), a class of finitely-presented, countable-state MDPs. OC-MDPs are equivalent to a controlled extension of (discrete-time) Quasi-Birth-Death processes (QBDs), a stochastic model studied heavily in queueing theory and applied probability. They can thus be viewed as a natural ``adversarial'' version of a classic stochastic model. Alternatively, they can also be viewed as a natural probabilistic/controlled extension of classic one-counter automata. OC-MDPs also subsume (as a very restricted special case) a recently studied MDP model called ``solvency games'' that model a risk-averse gambling scenario. Basic computational questions about these models include ``termination'' questions and ``limit'' questions, such as the following: does the controller have a ``strategy'' (or ``policy'') to ensure that the counter (which may for example count the number of jobs in the queue) will hit value 0 (the empty queue) almost surely (a.s.)? Or that it will have infinite limsup value, a.s.? Or, that it will hit value 0 in selected terminal states, a.s.? Or, in case these are not satisfied a.s., compute the maximum (supremum) such probability over all strategies. We provide new upper and lower bounds on the complexity of such problems. For some of them we present a polynomial-time algorithm, whereas for others we show PSPACE- or BH-hardness and give an EXPTIME upper bound. Our upper bounds combine techniques from the theory of MDP reward models, the theory of random walks, and a variety of automata-theoretic methods.

Connected through hyperedge HE-1 (induced by source paper "stochastic shortest paths and weight bounded properties in markov decision processes"):
  with members:
    - "mdps with energy parity objectives"
    - "optimizing the expected mean payoff in energy markov decision processes"
    - "qualitative analysis of vass induced mdps"
    - "variations on the stochastic shortest path problem"
    - "the odds of staying on budget"
    - "computing quantiles in markov reward models"
    - "meet your expectations with guarantees beyond worst case synthesis in quantitative games"
    - "energy and mean payoff parity markov decision processes"

Connected through hyperedge HE-2 (induced by source paper "infinite duration bidding games"):
  with members:
    - "determinacy in discrete bidding infinite duration games"
    - "infinite duration poorman bidding games"
    - "how much lookahead is needed to win infinite games"
    - "discrete all pay bidding games"
    - "non zero sum games for reactive synthesis"
    - "pure nash equilibria in concurrent deterministic games"
    - "variations on the stochastic shortest path problem"
    - "the odds of staying on budget"

Connected through hyperedge HE-3 (induced by source paper "optimizing the expected mean payoff in energy markov decision processes"):
  with members:
    - "an omega algebra for real time energy problems"
    - "unifying two views on multiple mean payoff objectives in markov decision processes"
    - "qualitative analysis of vass induced mdps"
    - "average energy games"
    - "multidimensional beyond worst case and almost sure problems for mean payoff objectives"
    - "zero reachability in probabilistic multi counter automata"
    - "the odds of staying on budget"
    - "polynomial time algorithms for energy games with special weight structures"

Connected through hyperedge HE-4 (induced by source paper "markov decision processes with applications in wireless sensor networks a survey"):
  with members:
    - "distributed and centralized hybrid csma ca tdma schemes for single hop wireless networks"
    - "machine learning in wireless sensor networks algorithms strategies and applications"
    - "markov decision processes with multiple long run averageobjectives"
    - "on the complexity of solving markov decision problems"
    - "internet of things iot a vision architectural elements and future directions"
    - "delay optimal data forwarding in vehicular sensor networks"
    - "sensor scheduling for energy efficient target tracking in sensor networks"
    - "sleep control for tracking in sensor networks"

Connected through hyperedge HE-5 (induced by source paper "qualitative analysis of vass induced mdps"):
  with members:
    - "long run average behaviour of probabilistic vector addition systems"
    - "solving parity games on integer vectors"
    - "one counter stochastic games"
    - "qualitative logics and equivalences for probabilistic systems"
    - "decisive markov chains"

Connected through hyperedge HE-6 (induced by source paper "zero reachability in probabilistic multi counter automata"):
  with members:
    - "stochastic parity games on lossy channel systems"
    - "model checking vector addition systems with one zero test"
    - "polynomial time algorithms for multi type branching processes and stochastic context free grammars"
    - "approximating the termination value of one counter mdps and stochastic games"
    - "efficient analysis of probabilistic programs with an unbounded counter"
    - "reachability games on extended vector addition systems with states"
    - "one counter stochastic games"
    - "decisive markov chains"

Connected through hyperedge HE-7 (induced by source paper "the odds of staying on budget"):
  with members:
    - "the complexity of the kth largest subset problem and related problems"
    - "variations on the stochastic shortest path problem"
    - "percentile queries in multi dimensional markov decision processes"
    - "computing quantiles in markov reward models"
    - "meet your expectations with guarantees beyond worst case synthesis in quantitative games"
    - "approximating the termination value of one counter mdps and stochastic games"

Connected through hyperedge HE-8 (induced by source paper "minimizing running costs in consumption systems"):
  with members:
    - "polynomial time algorithms for energy games with special weight structures"
    - "efficient controller synthesis for consumption games with multiple resource types"
    - "minimizing expected termination time in one counter markov decision processes"
    - "reachability games on extended vector addition systems with states"
    - "one counter stochastic games"
    - "energy parity games"

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.GT(Computer Science and Game Theory)