beyretb/AnimalAI-Olympics

Code repository for the Animal AI Olympics competition

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Emerging

This project offers a simulated environment where you can design and test artificial intelligence agents using tasks inspired by animal cognition. You provide the AI agent and receive performance metrics on how well it navigates arenas, collects rewards, and avoids obstacles, helping researchers understand AI's cognitive abilities. It's designed for AI researchers and cognitive scientists exploring agent behavior and intelligence.

577 stars. No commits in the last 6 months.

Use this if you are an AI researcher or cognitive scientist looking to rigorously test and train AI agents on a wide range of animal-cognition-inspired tasks within a controlled, virtual setting.

Not ideal if you are looking for an actively maintained, cutting-edge AI testbed, as this is an older version from a 2019 competition with limited updates.

AI-cognition agent-behavior simulated-environments reinforcement-learning cognitive-science
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 20 / 25

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Stars

577

Forks

83

Language

Python

License

Apache-2.0

Last pushed

Aug 27, 2022

Commits (30d)

0

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