"Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for ..."

Jingyun Yang et al. (2024)

> Home

Details and statistics

DOI: 10.1109/ICRA57147.2024.10610421

access: closed

type: Conference or Workshop Paper

metadata version: 2024-08-19

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icra/YangMVSBF24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icra/YangMVSBF24
Jingyun Yang, Max Sobol Mark, Brandon Vu, Archit Sharma, Jeannette Bohg, Chelsea Finn:
Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning. ICRA 2024: 4804-4811

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.