"Tumbling Robot Control Using Reinforcement Learning: An Adaptive Control ..."

Andrew Schwartzwald et al. (2023)

> Home

Details and statistics

DOI: 10.1109/MRA.2022.3188215

access: closed

type: Journal Article

metadata version: 2023-07-07

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/ram/SchwartzwaldTGBP23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/ram/SchwartzwaldTGBP23
Andrew Schwartzwald, Matthew Tlachac, Luis Guzman, Athanasios Bacharis, Nikolaos Papanikolopoulos:
Tumbling Robot Control Using Reinforcement Learning: An Adaptive Control Policy That Transfers Well to the Real World. IEEE Robotics Autom. Mag. 30(2): 86-95 (2023)

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.