#reinforcementlearning #machinelearning #deepqlearning #dqn #controlengineering #datascience #controltheory #qlearning #openaigym #openai
It takes a significant amount of time and energy to create these free video tutorials. You can support my efforts by making a PayPal donation or by becoming a Patreon:
PayPal: [ Ссылка ]
Patreon: [ Ссылка ]
The webpage accompanying this tutorial is given here:
[ Ссылка ]
THIS IS THE FIRST PART!
The second part is given here: [ Ссылка ]
The GitHub page with all the codes is given here: [ Ссылка ]
In this reinforcement learning tutorial, we explain the basics of the deep Q learning network reinforcement learning algorithm. We explain how to implement this algorithm in Python by using the TensorFlow library. We perform tests in the OpenAI Gym Cart-Pole environment.
