Merge branch 'final_batch-version' of https://gitlab.cl.uni-heidelberg.de/rios/DQN-NMT into final_batch-version

small_dqn config file modified.

I set two states, the eos token (zeros). And the excess of the max length (-1 s). And add a punishment on last state on the reward.

In order to include the mini_reverse_model. And changes provided by Antonio and Rene

I set two states, the eos token (zeros). And the excess of the max length (-1 s). And add a punishment on last state on the reward.

I modified the reward function using different parameters of the sacrebleu. And from a prior test, seems to be improved the learning.

Add the option to use attention as the state. Is already learning something, but in a very slow way....

Included the complete q-learn sequence. But the Qnet, still is not working(not improving scores). I write a TODO list on readme.