- DQN paper: https://storage.googleapis.com/deepmind-media/dqn/DQNNaturePaper.pdf
- Double DQN paper: https://arxiv.org/pdf/1509.06461.pdf
- Dueling network architecture: https://arxiv.org/pdf/1511.06581.pdf
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You're reading from Hands-On Reinforcement Learning with Python
Sudharsan Ravichandiran is a data scientist and artificial intelligence enthusiast. He holds a Bachelors in Information Technology from Anna University. His area of research focuses on practical implementations of deep learning and reinforcement learning including natural language processing and computer vision. He is an open-source contributor and loves answering questions on Stack Overflow.
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Sudharsan Ravichandiran is a data scientist and artificial intelligence enthusiast. He holds a Bachelors in Information Technology from Anna University. His area of research focuses on practical implementations of deep learning and reinforcement learning including natural language processing and computer vision. He is an open-source contributor and loves answering questions on Stack Overflow.
Read more about Sudharsan Ravichandiran