"MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning."

Mikayel Samvelyan et al. (2023)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2024-07-24

- view
  - electronic edition @ openreview.net (open access)
- export record
  dblp key:
  - conf/iclr/SamvelyanK0JPFR23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/SamvelyanK0JPFR23
Mikayel Samvelyan, Akbir Khan, Michael Dennis, Minqi Jiang, Jack Parker-Holder, Jakob Nicolaus Foerster, Roberta Raileanu, Tim Rocktäschel:
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning. ICLR 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.