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LearnedSQLGen Constraint-aware SQL Generation using Reinforcement Learning

发表于2023-09-27|更新于2023-10-23
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文章作者: Lin Li
文章链接: http://example.com/2023/09/27/LearnedSQLGen-Constraint-aware-SQL-Generation-using-Reinforcement-Learning/
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目录
  1. 1. LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning
    1. 1.1. Basic Information:
    2. 1.2. 论文简要 :
    3. 1.3. 背景信息:
    4. 1.4. 方法:
    5. 1.5. 结果:
    6. 1.6. 摘要：
    7. 1.7. Introduction:
    8. 1.8. PRELIMINARY:
      1. 1.8.1. 2.1 Problem Formulation
      2. 1.8.2. 2.2 Related Work
    9. 1.9. SYSTEM FRAMEWORK
      1. 1.9.1. 3.1 Overview
      2. 1.9.2. 3.2 Training
      3. 1.9.3. 3.3 Inference
    10. 1.10. RL IN LEARNEDSQLGEN
      1. 1.10.1. 4.1 State Representation
      2. 1.10.2. 4.2 Reward Design
      3. 1.10.3. 4.3 LearnedSQLGen via Actor-Critic
    11. 1.11. FSM IN THE ENVIRONMENT
    12. 1.12. PRE-TRAINING FOR DIFFERENT CONSTRAINTS
    13. 1.13. EXPERIMENTS
      1. 1.13.1. 7.1 Experiment Setting
      2. 1.13.2. 7.2 Overall Evaluation
      3. 1.13.3. 7.3 Evaluation of the actor-critic network
      4. 1.13.4. 7.4 Meta-critic Network Evaluation
      5. 1.13.5. 7.5 Case Study of Generated Queries
      6. 1.13.6. 7.6 Complicated Queries Generation
      7. 1.13.7. 7.7 Evaluation on Sample Sizes
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