Wondering if anyone's had success implementing a deep RNN in AC_Network()? At first glance it looks as easy as
cell = tf.nn.rnn_cell.LSTMCell(256, state_is_tuple=True)
cell = tf.nn.rnn_cell.MultiRNNCell([cell] * 2, state_is_tuple=True)
# same stuff as before
but the output is now a tuple of tuples, which will change handling of c_in & h_in placeholders and feed_dicts throughout Worker(). Definitely a support request rather than bug, just I've tried my hand at this for a couple days & my newbiness is blocking me.
Wondering if anyone's had success implementing a deep RNN in AC_Network()? At first glance it looks as easy as
but the output is now a tuple of tuples, which will change handling of
c_in&h_inplaceholders and feed_dicts throughoutWorker(). Definitely a support request rather than bug, just I've tried my hand at this for a couple days & my newbiness is blocking me.