simoninithomas/ml-agents-snowball-fight

A multi-agent environment using Unity ML-Agents Toolkit

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/ 100
Emerging

This environment provides a simulated 2 vs 2 snowball fight game where four AI agents compete. It helps developers create and train machine learning models for cooperative and adversarial multi-agent behaviors. Input involves configuring the game environment and agent reward functions, and the output is trained AI agents capable of playing the game effectively. This is for AI/ML researchers and game AI developers.

No commits in the last 6 months.

Use this if you are a machine learning researcher or game developer looking to train AI agents in a complex, multi-agent environment with both cooperative and competitive elements.

Not ideal if you are looking for a pre-built game or a simple simulation for single-agent training.

Multi-Agent Reinforcement Learning Game AI Development Cooperative AI Adversarial AI AI Simulation
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 14 / 25

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10

Forks

3

Language

License

Apache-2.0

Last pushed

Dec 09, 2020

Commits (30d)

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