polle-package: polle: Policy Learning

In polle: Policy Learning

polle: Policy Learning

Description

Framework for evaluating user-specified finite stage policies and learning realistic policies via doubly robust loss functions. Policy learning methods include doubly robust Q-learning, sequential policy tree learning, and outcome weighted learning. See Nordland and Holst (2022) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.48550/arXiv.2212.02335")} for documentation and references.

Author(s)

Maintainer: Andreas Nordland [e-mail]

Authors:

• Klaus Holst [e-mail] (ORCID)

See Also

Useful links:

• Report bugs at https://github.com/AndreasNordland/polle/issues

polle documentation built on May 29, 2024, 1:15 a.m.