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 "the impatient may use limited optimism to minimize regret"):
  Abstract: Discounted-sum games provide a formal model for the study of reinforcement learning, where the agent is enticed to get rewards early since later rewards are discounted. When the agent interacts with the environment, she may regret her actions, realizing that a previous choice was suboptimal given the behavior of the environment. The main contribution of this paper is a PSPACE algorithm for computing the minimum possible regret of a given game. To this end, several results of independent interest are shown. (1) We identify a class of regret-minimizing and admissible strategies that first assume that the environment is collaborating, then assume it is adversarial---the precise timing of the switch is key here. (2) Disregarding the computational cost of numerical analysis, we provide an NP algorithm that checks that the regret entailed by a given time-switching strategy exceeds a given value. (3) We show that determining whether a strategy minimizes regret is decidable in PSPACE.

Includes members:
  Member "ergodic mean payoff games for the analysis of attacks in crypto currencies":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a survey on applications of game theory in blockchain")
  Member "on delay and regret determinization of max plus automata":
    also connected through other hyperedges:
      (none)
  Member "admissibility in quantitative graph games":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the complexity of subgame perfect equilibria in quantitative reachability games")
  Member "reactive synthesis without regret":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on delay and regret determinization of max plus automata")
  Member "non zero sum games for reactive synthesis":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "games where you can play optimally with finite memory")
  Member "minimizing regret in discounted sum games":
    also connected through other hyperedges:
      (none)
  Member "iterated regret minimization in game graphs":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "non zero sum games for reactive synthesis")

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.GT(Computer Science and Game Theory)