How to "run" agent after training or visualize results #4
Description
Hi Danijar,
I know this might sound like a dumb question, but after I trained Director on a few tasks, I'd like to see how it performs by either rendering an environment while running the agent or simply running headless and looking at some plots/board on several performance metrics.
Just FYI I used the docker container to train. (which BTW I had to update it for me, as it actually requires Tensorflow 2.11.0rc1-gpu, libgles2-mesa-dev, upgrade PyOpenGL, matplotlib, and a few more changes to run smoothly)
Thanks for your help.