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