Work

A Machine Learning Based Method for Rating Adversarial Board Games

Year: 2024

Type: conference-paper

Source: International Symposium on Computing and Networking

DOI: 10.1109/candar64496.2024.00020

Authors: Ryosei Shimanuki, Hiroshi Hosobe

Institution: Hosei University

Language: English

Topic: Artificial Intelligence in Games

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Japan Society for the Promotion of Science

Award: Notebook Programming for Reactive Systems

OpenAlex ID: W4405934869

FWCI:

Cites: 4

Cited by:

Related to: 10