farama-foundation/gymnasium-env-template — explained in plain English
Analysis updated 2026-07-17 · repo last pushed 2024-10-16
Clone the template and fill in your own physics, game rules, or reward function instead of writing environment boilerplate from scratch.
Answer a few configuration questions to auto-generate a working custom Gymnasium environment.
Build a simulated task for a reinforcement-learning agent, such as a robot learning to walk or a game-playing AI.
Test a new reinforcement-learning algorithm on a domain-specific environment you define yourself.
| farama-foundation/gymnasium-env-template | jlevy/simple-modern-uv | davestephens/ansible-nas | |
|---|---|---|---|
| Stars | 23 | 281 | 3,735 |
| Language | Jinja | Jinja | Jinja |
| Last pushed | 2024-10-16 | — | — |
| Maintenance | Stale | — | — |
| Setup difficulty | moderate | easy | hard |
| Complexity | 3/5 | 2/5 | 4/5 |
| Audience | researcher | developer | ops devops |
Figures from each repo's GitHub metadata at analysis time.
You still need to write your own environment logic, physics, rules, and rewards, after generating the template.
A starter template for building custom reinforcement-learning environments with Gymnasium, so you can define an AI agent's actions, observations, and rewards without writing the boilerplate yourself.
Mainly Jinja. The stack also includes Jinja, Gymnasium, Python.
Stale — no commits in 1-2 years (last push 2024-10-16).
No license information is mentioned in the explanation.
Setup difficulty is rated moderate, with roughly 1h+ to a first successful run.
Mainly researcher.
This repo across BitVibe Labs
Don't trust strangers blindly. Verify against the repo.