Gymnasium

What it is

Gymnasium is a successor to OpenAI Gym, providing a framework for creating environments to test and compare reinforcement learning algorithms. It's essential for researchers and developers working on AI-driven decision-making systems.

Gymnasium offers a community-driven, improved version of OpenAI Gym, focusing on robustness and extensibility in reinforcement learning environments.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited documentation for advanced use cases

   Core documentation focuses on basic usage, lacks detailed guides for complex scenarios

2. 02

   Performance bottlenecks in large-scale simulations

   Not optimized for real-time or high-frequency reinforcement learning tasks

What it does well

• Successor to OpenAI Gym, with improved features and support.

• Extensive library of environments for testing reinforcement learning algorithms.

• Community-driven development and maintenance.

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.