ETL task scheduling on TPC-H standard (test)
2.43ASDDeep Q-Learning-Based Intelligent Scheduling
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| Deep Q-Learning-Based Intelligent Scheduling2025.12 | 2.43 | 0.9582 | 312.7 | 0.079 | |
| PPOaction_space=continuous, update_mechanism=clipping2025.12 | 2.77 | 0.9354 | 297.3 | 0.091 | |
| SACaction_space=continuous, regularization=entropy2025.12 | 2.81 | 0.9316 | 295.8 | 0.094 | |
| DDPGaction_space=continuous2025.12 | 2.94 | 0.9204 | 289.6 | 0.101 | |
| A3C2025.12 | 3.06 | 0.9125 | 283.7 | 0.109 | |
| DDQN2025.12 | 3.22 | 0.9018 | 278.4 | 0.115 | |
| Q-Learningstate_representation=tabular2025.12 | 3.84 | 0.8762 | 264.1 | 0.132 |