RL environments & gyms
RL environments & gyms covers built, sold or hosted interactive environments, tasks and verifiers used to train (and test) agents and models with reinforcement learning.
In brief
RL environments & gyms, in brief.
What it isRL environments & gyms covers built, sold or hosted interactive environments, tasks and verifiers used to train (and test) agents and models with reinforcement learning.
Where it sitsOne of 12 categories in the Training and fine-tuning layer. Training and fine-tuning covers the frameworks, libraries and platforms used to train a model from scratch or adapt an existing one to a task, and the tools that track those experiments.
What we track30 products, including ALE (Arcade Learning Environment), Brax, BrowserGym, Craftax and EnvPool.
The products
30 products in RL environments & gyms.
Each name opens a search for that product in our index.
ProductMakerIts own site
From our census of 2026-11-08. A product listed here is one that belongs in this category; the search answer says whether we have checked it.
Questions
RL environments & gyms, answered.
What is RL environments & gyms in AI infrastructure?RL environments & gyms covers built, sold or hosted interactive environments, tasks and verifiers used to train (and test) agents and models with reinforcement learning.
Which layer of AI infrastructure is RL environments & gyms in?RL environments & gyms is in the Training and fine-tuning layer. Training and fine-tuning covers the frameworks, libraries and platforms used to train a model from scratch or adapt an existing one to a task, and the tools that track those experiments.
Which products are in RL environments & gyms?We track 30 products in RL environments & gyms, including ALE (Arcade Learning Environment), Brax, BrowserGym, Craftax, EnvPool, Genesis, Gymnasium and HUD. The full list is on this page.
Training and fine-tuning
The other categories in Training and fine-tuning.
AutoML & hyperparameter optimizationComputer vision toolkits & platformsDeep learning & ML frameworksDistributed training frameworksExperiment trackingFeature storesFederated & privacy-preserving learningFine-tuning platformsML workflow / MLOps platformsOpen-source fine-tuning librariesRL / post-training libraries