Journal article
A Benchmark for StarCraft Intelligent Agents
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, v 11(2), pp 22-28
24 Jun 2021
Abstract
The problem of comparing the performance of different Real-Time Strategy (RTS) Intelligent Agents (IA) is non-trivial. And often different research groups employ different testing methodologies designed to test specific aspects of the agents. However, the lack of a standard process to evaluate and compare different methods in the same context makes progress assessment difficult. In order to address this problem, this paper presents a set of benchmark scenarios and metrics aimed at evaluating the performance of different techniques or agents for the RTS game StarCraft. We used these scenarios to compare the performance of a collection of bots participating in recent StarCraft AI (Artificial Intelligence) competitions to illustrate the usefulness of our proposed benchmarks.
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Details
- Title
- A Benchmark for StarCraft Intelligent Agents
- Creators
- Alberto Uriarte - Drexel UniversitySantiago Ontañón - Drexel University
- Publication Details
- Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, v 11(2), pp 22-28
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Computer Science (Computing)
- Other Identifier
- 991021869011604721