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 "indifference methods for managing agent rewards"):
  Abstract: Indifference is a class of methods that are used to control a reward based agent, by, for example, safely changing their reward or policy, or making the agent behave as if a certain outcome could never happen. These methods of control work even if the implications of the agent's reward are otherwise not fully understood. Though they all come out of similar ideas, indifference techniques can be classified as way of achieving one or more of three distinct goals: rewards dependent on certain events (with no motivation for the agent to manipulate the probability of those events), effective disbelief that an event will ever occur, and seamless transition from one behaviour to another. There are five basic methods to achieve these three goals. This paper classifies and analyses these methods on POMDPs (though the methods are highly portable to other agent designs), and establishes their uses, strengths, and limitations. It aims to make the tools of indifference generally accessible and usable to agent designers.

Includes members:
  Member "counterfactual equivalence for pomdps and underlying deterministic environments":
    also connected through other hyperedges:
      (none)
  Member "agi safety literature review":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "ai safety state of the field through quantitative lens")
  Member "ai safety gridworlds":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "ride rewarding impact driven exploration for procedurally generated environments")
  Member "should robots be obedient":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "safe imitation learning via fast bayesian reward inference from preferences")
  Member "good and safe uses of ai oracles":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "reward tampering problems and solutions in reinforcement learning a causal influence diagram perspective")
  Member "concrete problems in ai safety":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "intelligence physics and information the tradeoff between accuracy and simplicity in machine learning")
  Member "self modification of policy and utility function in rational agents":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "reward tampering problems and solutions in reinforcement learning a causal influence diagram perspective")
  Member "can intelligence explode":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "measuring the intelligence of an idealized mechanical knowing agent")

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)