Hierarchical State Abstraction Based on Structural Information Principles.
Xianghua ZengHao PengAngsheng LiChunyang LiuLifang HePhilip S. YuPublished in: CoRR (2023)
Keyphrases
- structural information
- state abstraction
- hierarchical reinforcement learning
- state space
- structural similarity
- reinforcement learning
- hierarchical decomposition
- markov decision processes
- semantic information
- path finding
- artificial intelligence
- initial state
- monte carlo
- reinforcement learning algorithms
- database
- probability distribution
- optimal solution
- knowledge base
- data mining