elvisyjlin / RLenv.directory

Explore and find exotic learning environments. List of 65+ learning environments on Github.

RLenv.directory allows you to explore and find exotic environments.

Learning environments are the datasets of reinforcement learning, a key piece for progress in the field. Our mission is to encourage the creation of new and more complex learning environments by making their discovery easy.

Features

• Filter environments by descriptive tags
• Order by number of Github stars
• Filter by complexity and number of agents
• 100+ indexed environments

Contributing

All learning environments are stored in a easy to edit json file, steps for adding a new environment are:

1. Forking the repository
2. Adding the environment to "site/data/envs.json"
3. Opening a pull request

Bug Reports

All issue reports are welcome, more detailed guidelines will be added soon.