Keeping Track of RL Environments
More environments to test reinforcement learning (RL) agents are created all the time. As specific problems in RL are tackled, the rate these environments being made seems to be growing. To keep track of everything for myself, and to maybe help others, I compiled a list of RL environments. I decided to host this list on GitHub so others can easily access it. Here is the link.
If you have a specific project idea, this list can be helpful to find the right environment to experiment in. For instance, if you are working on multi-task learning in RL, you can find some environments to test your method or spark ideas under the multi-task learning section. Even if you aren’t working on a specific project, going through this list and seeing the challenges each environment presents could inspire new ideas.