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berteam

Transformer architecture designed to learn optimal team choice in multi-agent adversarial games

https://github.com/pranavraj575/berteam

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (0.6%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Transformer architecture designed to learn optimal team choice in multi-agent adversarial games

Basic Info
  • Host: GitHub
  • Owner: pranavraj575
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 96.7 KB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

BERTeam

Transformer architecture designed to learn optimal team choice in multi-agent adversarial games

Owner

  • Login: pranavraj575
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Rajbhandari"
  given-names: "Pranav"
  orcid: "https://orcid.org/0009-0004-4933-5204"
title: "BERTeam"
version: 0.0.0
date-released: 2024-04-20
url: "https://github.com/pranavraj575/BERTeam"

GitHub Events

Total
  • Push event: 8
Last Year
  • Push event: 8

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 70 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 23
  • Total maintainers: 1
pypi.org: berteam

Transformer architecture designed to learn optimal team choice in multi-agent adversarial games

  • Versions: 23
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 70 Last month
Rankings
Dependent packages count: 10.5%
Average: 34.9%
Dependent repos count: 59.2%
Maintainers (1)
pranavraj575
Last synced: 10 months ago