Causality-driven Hierarchical Structure Discovery for Reinforcement Learning.
Shaohui PengXing HuRui ZhangKe TangJiaming GuoQi YiRuizhi ChenXishan ZhangZidong DuLing LiQi GuoYunji ChenPublished in: CoRR (2022)
Keyphrases
- hierarchical structure
- reinforcement learning
- hierarchically structured
- hierarchical classification
- hierarchical structures
- function approximation
- hierarchical organization
- knowledge discovery
- binary tree
- state space
- optimal policy
- tree structure
- random effects
- causal relationships
- web pages
- data mining
- databases
- concept lattice
- causal discovery
- neural network
- markov decision processes
- data sets
- multi dimensional
- website
- search engine
- learning algorithm
- observational data