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| | | | | dennybritz.com | |
| | | | | Deep Learning is such a fast-moving field and the huge number of research papers and ideas can be overwhelming. | |
| | | | | d2l.ai | |
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| | | | | enginius.tistory.com | |
| | | | | Few selected papers I've enjoyed reading. More comprehensive list can be found in [https://spinningup.openai.com/en/latest/spinningup/keypapers.html]. Model-Free RL 1. Playing Atari with Deep Reinforcement Learning, Mnih et al, 2013. Algorithm: DQN https://arxiv.org/abs/1312.5602 Playing Atari with Deep Reinforcement Learning We present the first deep learning model to successfully learn control.. | |
| | | | | swethatanamala.github.io | |
| | | The authors developed a straightforward application of the Long Short-Term Memory (LSTM) architecture which can solve English to French translation. | ||