training does not work

[amaleki3]

Hey there,
I am training the q5 problem, but the training is not going well. I wondered if you have any clue what is wrong.

Here is a copy of training data:
122501/5000000 [..............................] - ETA: 34518s - Loss: 0.1562 - Avg_R: -21.0000 - Max_R: -21.0000 - eps: -55.3107 - Grads: 0.0000 - Max_Q: 0.0000 - lr: -0.0048

The gradient is 0, Max_Q is 0. Reward has not improved at all.

[bdytx5]

The test (nature.py) seems to work -- The issue seems to be a hyperparameter issue i'm guessing..

Average reward: 0.00 +/- 0.00
301/1000 [========>.....................] - ETA: 4s - Loss: 0.1427 - Avg_R: 0.3400 - Max_R: 2.0000 - eps: -0.6500 - Grads: 0.0453 - Max_Q: 0.0628 - lr: -0.0000
Evaluating...
Average reward: -1.00 +/- 0.00
401/1000 [===========>..................] - ETA: 4s - Loss: 0.1008 - Avg_R: -0.0150 - Max_R: 0.5000 - eps: -1.8875 - Grads: 0.0585 - Max_Q: 0.0698 - lr: -0.0002
Evaluating...
Average reward: 0.50 +/- 0.00
501/1000 [==============>...............] - ETA: 4s - Loss: 0.1244 - Avg_R: 0.4850 - Max_R: 0.5000 - eps: 0.0100 - Grads: 0.0362 - Max_Q: 0.0775 - lr: 0.0001
Evaluating...
Average reward: 0.50 +/- 0.00
601/1000 [=================>............] - ETA: 3s - Loss: 0.1770 - Avg_R: 0.4900 - Max_R: 0.5000 - eps: 0.0100 - Grads: 0.0461 - Max_Q: 0.0948 - lr: 0.0001
Evaluating...
Average reward: 0.50 +/- 0.00
701/1000 [====================>.........] - ETA: 2s - Loss: 0.0341 - Avg_R: 0.4150 - Max_R: 0.5000 - eps: 0.0100 - Grads: 0.0200 - Max_Q: 0.1068 - lr: 0.0001
Evaluating...
Average reward: 0.50 +/- 0.00
801/1000 [=======================>......] - ETA: 1s - Loss: 0.0636 - Avg_R: 0.5000 - Max_R: 0.5000 - eps: 0.0100 - Grads: 0.0292 - Max_Q: 0.1167 - lr: 0.0001
Evaluating...
Average reward: 0.50 +/- 0.00
901/1000 [==========================>...] - ETA: 0s - Loss: 0.0008 - Avg_R: 0.4600 - Max_R: 0.5000 - eps: 0.0100 - Grads: 0.0606 - Max_Q: 0.1244 - lr: 0.0001
Evaluating...
Average reward: 0.50 +/- 0.00
1001/1000 [==============================] - 10s - Loss: 0.0010 - Avg_R: 0.4500 - Max_R: 0.5000 - eps: 0.0100 - Grads: 0.0434 - Max_Q: 0.1302 - lr: 0.0001