This is the second video in my neural network series/concatenation. For this video, I've decided to demonstrate a simple, 4-layer DQN approach to the CartPole "classic control" problem, as seen on OpenAi's 'Gym' page.
GitHub for example code: https://github.com/AxiomaticUncertainty
--------------------------------------------relevant links------------------------------------------
OpenAI Gym: https://gym.openai.com/
Keras: https://keras.io/
Tensorflow: https://www.tensorflow.org/
Sublime Text 3: https://www.sublimetext.com/3
This is the second video in my neural network series/concatenation. For this video, I’ve decided to demonstrate a simple, 4-layer DQN approach to the CartPole “classic control” problem, as seen on OpenAi’s ‘Gym’ page.
GitHub for example code: https://github.com/AxiomaticUncertainty
——————————————–relevant links——————————————
OpenAI Gym: https://gym.openai.com/
Keras: https://keras.io/
Tensorflow: https://www.tensorflow.org/
Sublime Text 3: https://www.sublimetext.com/3
