Deep Q-Learning Network From Scratch in Python, TensorFlow, and OpenAI Gym – Part 2 – Tutorial
#reinforcementlearning #machinelearning #deepqlearning #dqn #controlengineering #datascience #controltheory #qlearning #openaigym #openaigym
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The webpage accompanying this tutorial is given here:
https://aleksandarhaber.com/deep-q-networks-dqn-in-python-from-scratch-by-using-openai-gym-and-tensorflow-reinforcement-learning-tutorial/
THIS IS THE SECOND PART!
The first part is given here: https://www.youtube.com/watch?v=xER1otedZOQ
The GitHub page with all the codes is given here: https://github.com/AleksandarHaber/Deep-Q-Learning-Network-from-Scratch-in-Python-TensorFlow-and-OpenAI-Gym
In this reinforcement learning tutorial, we explain the basics of the deep Q learning network (DQN) 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. In the second part that is presented in this video, we implement the DQN algorithm in Python and TensorFlow.
#reinforcementlearning #machinelearning #deepqlearning #dqn #controlengineering #datascience #controltheory #qlearning #openaigym #openaigym
It takes a significant amount of time and energy to create these free video tutorials. You can support my efforts in this way:
– Buy me a Coffee: https://www.buymeacoffee.com/AleksandarHaber
– PayPal: https://www.paypal.me/AleksandarHaber
– Patreon: https://www.patreon.com/user?u=32080176&fan_landing=true
– You Can also press the Thanks YouTube Dollar button
The webpage accompanying this tutorial is given here:
Deep Q Networks (DQN) in Python From Scratch by Using OpenAI Gym and TensorFlow- Reinforcement Learning Tutorial
THIS IS THE SECOND PART!
The first part is given here: https://www.youtube.com/watch?v=xER1otedZOQ
The GitHub page with all the codes is given here: https://github.com/AleksandarHaber/Deep-Q-Learning-Network-from-Scratch-in-Python-TensorFlow-and-OpenAI-Gym
In this reinforcement learning tutorial, we explain the basics of the deep Q learning network (DQN) 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. In the second part that is presented in this video, we implement the DQN algorithm in Python and TensorFlow.
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