"A Machine Learning Based Method for Rating Adversarial Board Games."

Ryosei Shimanuki, Hiroshi Hosobe (2024)

> Home

Details and statistics

DOI: 10.1109/CANDAR64496.2024.00020

access: closed

type: Conference or Workshop Paper

metadata version: 2025-01-27

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/candar/ShimanukiH24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/candar/ShimanukiH24
Ryosei Shimanuki, Hiroshi Hosobe:
A Machine Learning Based Method for Rating Adversarial Board Games. CANDAR 2024: 106-114

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.