Hi, I see that you have already thought of implementing some kind of "recurrentness" using the time_steps parameter.
Is it possible to train a stateful model (i.e., having data in shape as (batch_size, time_steps, features)) and resetting the state of, e.g., an lstm layer, for experience replay?
Hi, I see that you have already thought of implementing some kind of "recurrentness" using the time_steps parameter.
Is it possible to train a stateful model (i.e., having data in shape as (batch_size, time_steps, features)) and resetting the state of, e.g., an lstm layer, for experience replay?