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Deep Q Learning Explained - Making a Self-Driving Car (Part 1)
This video explains the concepts behind Deep Q Learning, and this series will apply this to making a self-driving car simulation!
Deep Q Learning is a combination of the reinforcement learning algorithm, Q learning, and Deep learning. Q learning uses 'Q values', which are updated via the Bellman equation, and stored in a table. To allow for large and continuous state spaces, a neural network can be used to approximate the Q values for a state.
Video code (in Manim): https://drive.google.com/file/d/1q1q-hXP8rmTvJDNmJ-SM_NzIk8F_ZvxS/view?usp=sharing
Видео Deep Q Learning Explained - Making a Self-Driving Car (Part 1) канала Point of Insanity Dev
Deep Q Learning is a combination of the reinforcement learning algorithm, Q learning, and Deep learning. Q learning uses 'Q values', which are updated via the Bellman equation, and stored in a table. To allow for large and continuous state spaces, a neural network can be used to approximate the Q values for a state.
Video code (in Manim): https://drive.google.com/file/d/1q1q-hXP8rmTvJDNmJ-SM_NzIk8F_ZvxS/view?usp=sharing
Видео Deep Q Learning Explained - Making a Self-Driving Car (Part 1) канала Point of Insanity Dev
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30 июля 2022 г. 0:48:12
00:05:33
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