Closed nsidn98 closed 4 years ago
Check these examples out:
@williamFalcon the examples in the linked repository does not have on-policy algorithms. Is there a way to bypass the need of train_dataloader() in the lightning module?
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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?