"Distill2Explain: Differentiable decision trees for explainable ..."

Gargya Gokhale et al. (2024)

> Home

Details and statistics

DOI: 10.1145/3632775.3661937

access: closed

type: Conference or Workshop Paper

metadata version: 2025-03-03

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/eenergy/GokhaleMCD24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/eenergy/GokhaleMCD24
Gargya Gokhale, Seyed Soroush Karimi Madahi, Bert Claessens, Chris Develder:
Distill2Explain: Differentiable decision trees for explainable reinforcement learning in energy application controllers. e-Energy 2024

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.