"Stable and Safe Reinforcement Learning via a Barrier-Lyapunov Actor-Critic ..."

Liqun Zhao, Konstantinos Gatsis, Antonis Papachristodoulou (2023)

> Home

Details and statistics

DOI: 10.1109/CDC49753.2023.10383742

access: closed

type: Conference or Workshop Paper

metadata version: 2025-05-31

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/cdc/ZhaoGP23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cdc/ZhaoGP23
Liqun Zhao, Konstantinos Gatsis, Antonis Papachristodoulou:
Stable and Safe Reinforcement Learning via a Barrier-Lyapunov Actor-Critic Approach. CDC 2023: 1320-1325

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.