human: Given a node-centered hypergraph: <hypergraph>, where nodes represent authors and hyperedges represent groups of authors who co-authored the same paper.

Details of the hypergraph:
Center node: "Hierarchical Information Entropy System Model for TWfMS"
  Abstract: {}

Connected through hyperedge HE-1 (induced by source paper "Human-level control through deep reinforcement learning"):
  with members:
    - "An object-oriented representation for efficient reinforcement learning"
    - "Cooperative and Competitive Reinforcement and Imitation Learning for a Mixture of Heterogeneous Learning Modules"
    - "Learning Scheduling Algorithms for Data Processing Clusters."
    - "Relational inductive biases, deep learning, and graph networks."
    - "S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning."
    - "Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation."
    - "Stochastic Substitute Training: A Gray-box Approach to Craft Adversarial Examples Against Gradient Obfuscation Defenses"
    - "Evolving Robust Policy Coverage Sets in Multi-Objective Markov Decision Processes Through Intrinsically Motivated Self-Play"

Question: Please tell me which research area the center author belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Mathematics