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| Name | Q Learning Tutorial: Dueling Architecture |
| Video Uploader | Video From Edan Meyer |
| Upload Date | This Video Uploaded At 05-03-2021 19:00:11 |
| Video Discription | In this episode of the DQN tutorial series, we look into how to make a Duel Q network for improved performance. Code: https://github.com/ejmejm/Q-Learning-Tutorials/blob/master/Dueling_Double_DQN.ipynb Previous tutorial: https://www.youtube.com/watch?v=_vfMzheFzf4 Paper: https://arxiv.org/abs/1511.06581 Music credit: https://soundcloud.com/scandinavianz/scandinavianz-lahar-kahakai-free-download |
| Category | Science & Technology |
| Tags | neural network | machine learning | ML | deep learning | artificial intelligence | programming | python | computer | computer science | science | AI | technology | backpropagation | function | gradient descent | data | processing | learning | data science | tutorial | explanation | neural network tutorial | example | tensorflow | pytorch | reinforcement learning | RL | gym | openai | cartpole | q-learning | q learning | TD | temporal difference | deep q learning | policy | gradient | value | value iteration | DQN | experience replay | training |
