Roboschool

What it is

Roboschool is an open-source framework for simulating robots in various environments, designed to be used alongside the OpenAI Gym. It provides a rich set of scenarios and challenges for training reinforcement learning algorithms.

Roboschool stands out by offering a wide range of robot models and environments specifically tailored for reinforcement learning tasks within the OpenAI Gym framework.

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 community support and small user base

   The project has a relatively low number of contributors on GitHub compared to similar frameworks like Gazebo or MuJoCo.

2. 02

   Performance issues with complex simulations

   Simulations involving multiple robots or intricate environments can become slow, leading to extended training times for reinforcement learning algorithms.

3. 03

   Poor documentation and examples

   The official documentation lacks comprehensive guides and practical examples, making it difficult for new users to get started without external resources.

What it does well

• Integration with OpenAI Gym for reinforcement learning tasks.

• Supports a variety of robot models and environments.

• Highly customizable simulation scenarios.

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.