Skip to content

Rankings Industries Companies Research Blog

Sign in List your company

ResearchFormerly WizWand

Papers Benchmarks Datasets Tasks

Research
Benchmarks
3m Scenario Evaluation on StarCraft Multi-Agent Challenge SMAX

3m Scenario Evaluation on StarCraft Multi-Agent Challenge SMAX

94Mean Win RateICRL

Updated 4mo ago

Evaluation results

Method	Links
ICRL2025.09		94
MAPPO2025.09		36
IPPO2025.09		0

State-of-the-art paper

ICRL

Self-Supervised Goal-Reaching Results in Multi-Agent Cooperation and Exploration

Dataset

StarCraft Multi-Agent Challenge

Follow for updates

Join SOTA2 Contact

Related benchmarks

2s3z Scenario on StarCraft Multi-Agent Challenge (SMAX)Multi-Agent Control on Ant Control on Half-Cheetah Environment (Multi-Agent)Humanoid on Multi-Agent Control 6h_v_8z Scenario Evaluation on StarCraft Multi-Agent Challenge SMAX

Building an AI company?

Claim your profile, keep your facts current and see how buyers find you. Rankings are never paid for.

How rankings work List your company

Find AI companies and products for your business problem. Compare solutions and evidence by industry and task.

Explore

Rankings
Industries
Categories
Companies
Top AI companies

Read

Blog
Research
llms.txt

For AI companies

List your company
Claim a profile
Ranking badges

SOTA2 with AI

Claude connector
ChatGPT plugin
Tool reference
Connector privacy
Connector terms

SOTA2

Why SOTA2
How we rank
Contact

© 2026 SOTA2Built in Bellevue, USA