A Novel State Space Exploration Method for the Sparse-Reward Reinforcement Learning Environment.
Xi LiuLong MaZhen ChenChanggang ZhengRen ChenYong LiaoShufan YangPublished in: SGAI Conf. (2023)
Keyphrases
- reinforcement learning
- experimental evaluation
- learning environment
- cost function
- preprocessing
- synthetic data
- dynamical systems
- detection method
- high precision
- state space
- markov decision processes
- data sets
- segmentation method
- segmentation algorithm
- markov chain
- high accuracy
- probabilistic model
- dynamic programming
- significant improvement
- pairwise
- feature extraction
- multimedia
- feature selection