Dear Hamed Hosseiny

Have a look with these articles:

1. https://towardsdatascience.com/double-deep-q-networks-905dd8325412

2. https://www.eventideib.polimi.it/en/events/reducing-q-function-estimation-error-in-dqn-algorithm/

3. https://markelsanz14.medium.com/introduction-to-reinforcement-learning-part-3-q-learning-with-neural-networks-algorithm-dqn-1e22ee928ecd

4. https://www.analyticsvidhya.com/blog/2019/04/introduction-deep-q-learning-python/

5. https://pytorch.org/tutorials/intermediate/reinforcement_q_learning.html

Kind Regards

Qamar Ul Islam

Dear Hamed Hosseiny

I found these tutorials useful.

https://www.mlq.ai/deep-reinforcement-learning-q-learning/

https://towardsdatascience.com/tutorial-double-deep-q-learning-with-dueling-network-architectures-4c1b3fb7f756

Dear Hamed Hosseiny,

I suggest you to see links on topic.

https://www.eventideib.polimi.it/events/reducing-q-function-estimation-error-in-dqn-algorithm/

https://openreview.net/forum?id=dN_iVr6iNuU

https://arxiv.org/pdf/1611.01929.pdf

Preprint Reducing Overestimation Bias by Increasing Representation Di...

Article Constrained Deep Q-Learning Gradually Approaching Ordinary Q-Learning

Best regards