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 "categorizing wireheading in partially embedded agents"):
  Abstract: $\textit{Embedded agents}$ are not explicitly separated from their environment, lacking clear I/O channels. Such agents can reason about and modify their internal parts, which they are incentivized to shortcut or $\textit{wirehead}$ in order to achieve the maximal reward. In this paper, we provide a taxonomy of ways by which wireheading can occur, followed by a definition of wirehead-vulnerable agents. Starting from the fully dualistic universal agent AIXI, we introduce a spectrum of partially embedded agents and identify wireheading opportunities that such agents can exploit, experimentally demonstrating the results with the GRL simulation platform AIXIjs. We contextualize wireheading in the broader class of all misalignment problems - where the goals of the agent conflict with the goals of the human designer - and conjecture that the only other possible type of misalignment is specification gaming. Motivated by this taxonomy, we define wirehead-vulnerable agents as embedded agents that choose to behave differently from fully dualistic agents lacking access to their internal parts.

Includes members:
  Member "embedded agency":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "implications of quantum computing for artificial intelligence alignment research")
  Member "strong asymptotic optimality in general environments":
    also connected through other hyperedges:
      (none)
  Member "understanding agent incentives using causal influence diagrams part i single action settings":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "resolving spurious correlations in causal models of environments via interventions")
  Member "ai safety gridworlds":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "ride rewarding impact driven exploration for procedurally generated environments")
  Member "aixijs a software demo for general reinforcement learning":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a strongly asymptotically optimal agent in general environments")
  Member "universal reinforcement learning algorithms survey and experiments":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a strongly asymptotically optimal agent in general environments")
  Member "generalised discount functions applied to a monte carlo aimu implementation":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "universal reinforcement learning algorithms survey and experiments")
  Member "avoiding wireheading with value reinforcement learning":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "positive unlabeled reward learning")

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.AI(Artificial Intelligence)