Breakout
Tutorials
Google Colaboratory - Dueling DQN/CNN
https://colab.research.google.com/drive/1cD2S8dvnRVJmSrbLpR56ZVOHD88qZUpV
Results
Dueling DQN/CNN - to be trained...
Video
References
https://gymnasium.farama.org/environments/atari/breakout/
https://storage.googleapis.com/deepmind-data/assets/papers/DeepMindNature14236Paper.pdf
https://arxiv.org/abs/1511.06581
https://www.datahubbs.com/deepmind-dqn/
https://www.dskomei.com/entry/2021/10/05/140156
https://qiita.com/omuram/items/c03a2b2266c958564a9a
https://qiita.com/mathlive/items/8e1f9a8467fff8dfd03c
https://unproductive.dev/rl-implementation-dqn/
https://torch.classcat.com/2021/04/26/pytorch-1-8-tutorials-intermediate-reinforcement-q-learning/
https://take-tech-engineer.com/gymnasium-atari-breakout/
https://take-tech-engineer.com/dqn-atari-breakout-pytorch/
https://ex-ture.com/blog/2021/01/11/pytorch-cnn/
https://github.com/BY571/DQN-Atari-Agents/blob/master/Agents/Networks/DQN.py
https://github.com/openai/baselines/blob/1b092434fc51efcb25d6650e287f07634ada1e08/baselines/common/models.py
Acknowledgments
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