A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs.
Zhicheng LiangYu YangXiangyu KeXiaokui XiaoYunjun GaoPublished in: CoRR (2024)
Keyphrases
- preprocessing
- empirical studies
- methods can be applied
- reinforcement learning
- qualitative and quantitative
- benchmark datasets
- problems in computer vision
- practical problems
- statistical analysis
- graphical models
- reinforcement learning methods
- heuristic methods
- search methods
- real world
- optimization problems
- computational cost
- dynamic programming
- significant improvement
- active learning
- lower bound
- image segmentation
- machine learning