DeepRL-Agents

DeepRL-Agents copied to clipboard

Dears Dear @DMTSource Sometimes **NaN** values appear and agent just collapses. I used the following code to solve this issue. After policy ... ``` self.policy = slim.fully_connected(rnn_out,a_size, activation_fn=tf.nn.softmax, weights_initializer=normalized_columns_initializer(0.01), biases_initializer=None)...

IbrahimSobh

A3C Doom: What is the number of trainable variables?

4

Hi I am trying to find how many trainable variables are there ... When I try this code (just before: with tf.Session() as sess:) `np.sum([np.product([xi.value for xi in x.get_shape()]) for...

IbrahimSobh

Hello, I am attempting to adapt your a3c doom code, and I was wondering what versions your using? Perhaps a pip -freeze?

Kyxsune

Hi This is to discuss how the episode length may affect the learning process. **Case 1: The default as in the repo** Smoothed steady Reward is around 0.55 (see figure...

IbrahimSobh

Dear @awjuliani I would like to share results when using different buffer sizes (for all workers or per worker), to understand how buffer size may affect the convergence of an...

IbrahimSobh