How to run algorithms where there isn't a need for dataloaders?
What is your question?
In on-policy algorithms in reinforcement learning, rollouts are generated on the fly and there is no need for a replay buffer and consequently a dataloader. In these cases, the loss function is calculated according to the current states obtained (generally by using multiple parallel environments).
Hence, is it possible to bypass the dataloader requirement for lightning?