Hi I’m using DRL to train in my custom environment.
The environment is computing-intensive (e.g. state, reward calculation…)
No image operations
Now it takes about 20s to finish one iteration which has several hundreds of episodes.
I wonder how I can speed up the DRL training if I have a cluster. Any other things that I can do?