"Quantifying Agent Interaction in Multi-agent Reinforcement Learning for ..."

Yuxin Chen et al. (2024)

> Home

Details and statistics

DOI: 10.5555/3635637.3663107

access: closed

type: Conference or Workshop Paper

metadata version: 2024-05-03

- view
  - electronic edition @ acm.org
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/atal/ChenTTLLTZ24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/atal/ChenTTLLTZ24
Yuxin Chen, Chen Tang, Ran Tian, Chenran Li, Jinning Li, Masayoshi Tomizuka, Wei Zhan:
Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization. AAMAS 2024: 2201-2203

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.