[R] Looking for Ideas in Pre-training a RL Agent

Hi all,

I've been working on reinforcement learning lately, but wanted to come to the general ML subreddit to seek inspiration from other disciplines.

I've been working on strategies to decrease the training time for my real-world inverted pendulum experiment. Specifically, I am trying to pre-train the Q network in a simulation before deploying.

The strategy that I have found most successful right now is this:

start with randomly generated weights

REPEAT OF AN EPOCH:

\- Load new\_weights to Q …

ideas machinelearning pre-training rl training