Skip to content

Automatically evaluate, score, and visualize submitted RL agents against relevant conservation gyms

License

Notifications You must be signed in to change notification settings

boettiger-lab/rl-leaderboard

Repository files navigation

rl-leaderboard

Automatically evaluate, score, and visualize submitted RL agents against relevant conservation gyms

How to submit an agent:

  1. Make a public github repo (see template) that contains:

    • a .zip of parameters of a SB3-trained agent; naming convention on this .zip is ENV-ALGORITHM-TEAMNAME.zip
    • a requirements.txt file that contains the packages needed to run the agent, notably gym_*
  2. Paste the link to clone this repo in this Google Form


Acknowledgements

This material is based upon work supported by the National Science Foundation under Grant DBI-1942280. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

About

Automatically evaluate, score, and visualize submitted RL agents against relevant conservation gyms

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages