"Distilling Reinforcement Learning Policies for Interpretable Robot ..."

Fernando Acero, Zhibin Li (2024)

> Home

Details and statistics

DOI: 10.1109/IROS58592.2024.10802433

access: closed

type: Conference or Workshop Paper

metadata version: 2025-01-02

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/iros/Acero024
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iros/Acero024
Fernando Acero, Zhibin Li:
Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression. IROS 2024: 6840-6847

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.