About this document
Hierarchical Reinforcement Learning Guide by vemuripraveena2622 is a document available to read on EtoBox.
The document discusses Hierarchical Reinforcement Learning and various types of optimality, including A-optimality, C-optimality, and D-optimality, among others. It explains the principle of optimality and the concept of policy-over-options, highlighting the distinction between hierarchical-optimal and recursive-optimal policies. Additionally, it outlines the criteria for different optimality types, such as minimizing variance and maximizing information content in parameter estimates.
- Author
- vemuripraveena2622
- Language
- EN