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 "Q2: Memory-based active learning for optimizing noisy continuous functions field expands beyond prediction and function"):
  Abstract: This paper introduces a new algorithm, Q2, for optimizing the expected output of a multi-input noisy continuous function. Q2 is designed to need only a few experiments, it avoids strong assumptions on the form of the function, and it is autonomous in that it requires little problem-specific tweaking. Four existing approaches to this problem (response surface methods, numerical optimization, supervised learning, and evolutionary methods) all have inadequacies when the requirement of "black box" behavior is combined with the need for few experiments. Q2 uses instance-based determination of a convex region of interest for performing experiments. In conventional instance-based approaches to learning, a neighborhood was defined by proximity to a query point. In contrast, Q2 defines the neighborhood by a new geometric procedure that captures the size and

Includes members:
  Member "In  Active Learning with Statistical Models":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Information-based objective functions for active data selection")
  Member "Memory Based Stochastic Optimization for Validation and Tuning of Function Approximators":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Hoeffding Races: Accelerating Model Selection Search for Classification and Function Approximation")
  Member "Self-Improving Factory Simulation using Continuous-time Average-Reward Reinforcement Learning":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Value Function Based Production Scheduling")

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: Reinforcement_Learning