An Environmental-Complexity-Based Navigation Method Based on Hierarchical Deep Reinforcement Learning.
Pengbin ChenQi LiuYanjie LiShuaikang MaPublished in: ICRA (2024)
Keyphrases
- reinforcement learning
- significant improvement
- optimization algorithm
- dynamic programming
- cost function
- pairwise
- prior knowledge
- similarity measure
- objective function
- experimental evaluation
- computational cost
- synthetic data
- detection method
- unsupervised learning
- computationally efficient
- clustering method
- hierarchical clustering
- model free
- segmentation algorithm
- support vector machine svm
- model selection
- high accuracy
- probabilistic model
- computational complexity