DQN | Self Driving Car on Highway | Deep Reinforcement Learning

Q Learning is one of the most popular Reinforcement Learning algorithm. Q Learning works by learning the Q - Value function for a given environment and using that to derive the optimal policy. Deep Q Learning makes use of Deep Neural Networks to estimate the Q Value function in the classical Q Learning technique. In this video, we apply the Deep Q Learning technique to teach a Self Driving Car to drive on a Highway Scenario.

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Twitter:   / mahnasakshay  
LinkedIn:   / sakshaymahna  

Links
Notebook Code: https://www.kaggle.com/code/sakshayma...
Highway Environment: https://highway-env.readthedocs.io/en...
Deep Q Learning Blog: https://www.analyticsvidhya.com/blog/...
DQN Paper: https://www.cs.toronto.edu/~vmnih/doc...
Basic Reinforcement Learning Concepts:    • Basic Concepts | FrozenLake | Deep Re...