human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups papers that share a common citing paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "Planning and Learning in an Adversarial Robotic Game"):
  Abstract: 1 This paper demonstrates the tandem use of a finite automata learning algorithm and a utility planner for an adversarial robotic domain. For many applications, robot agents need to predict the movement of objects in the environment and plan to avoid them. When the robot has no reasoning model of the object, machine learning techniques can be used to generate one. In our project, we learn a DFA model of an adversarial robot and use the automaton to predict the next move of the adversary. The robot agent plans a path to avoid the adversary at the predicted location while fulfilling the goal requirements.

Includes members:
  Member "Efficient Algorithms for Learning to Play Repeated Games Against Computationally Bounded Adversaries":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Exactly Learning Automata with Small Cover Time")
  Member "TD Models: Modeling the World at a Mixture of Time Scales":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Multi-Time Models for Reinforcement Learning")
  Member "Learning DFA from Simple Examples":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Query, PACS and simple-PAC Learning")

Question: Please tell me which class the citing paper (i.e., the source paper of the center hyperedge) belongs to. The 7 classes are: Neural_Networks, Reinforcement_Learning, Probabilistic_Methods, Theory, Genetic_Algorithms, Case_Based, Rule_Learning. Directly output the class name.

gpt: Theory