reinforcement-learning-list

A list of Reinforcement learning materials I have come across

• RNN Effectiveness - Andrej Karpathy: http://karpathy.github.io/2015/05/21/rnn-effectiveness/
• Colah's blog: http://colah.github.io/posts/2015-08-Understanding-LSTMs/
• Edwin Chen - Exploring LSTMs: http://blog.echen.me/2017/05/30/exploring-lstms/
• Rohan and Lenny RNNs: https://ayearofai.com/rohan-lenny-3-recurrent-neural-networks-10300100899b
• Attention and Augmented Recurrent Neural Networks: https://distill.pub/2016/augmented-rnns/
• A Critical Review of Recurrent Neural Networks for Sequence Learning: https://arxiv.org/pdf/1506.00019.pdf
• Different LSTM archs reviewed: https://arxiv.org/pdf/1503.04069v1.pdf
• Analytics Vidhya RNN Tutorial: https://www.analyticsvidhya.com/blog/2017/12/introduction-to-recurrent-neural-networks/
• Essentials of Deep Learning : Introduction to Long Short Term Memory: https://www.analyticsvidhya.com/blog/2017/12/fundamentals-of-deep-learning-introduction-to-lstm/
• Training a char-rnn to Talk Like Me: https://hjweide.github.io/char-rnn
• Char-RNN-Tensorflow: https://github.com/sherjilozair/char-rnn-tensorflow
• How to build a Recurrent Neural Network in TensorFlow (1/7): https://medium.com/@erikhallstrm/hello-world-rnn-83cd7105b767
• A Beginner's Guide to LSTMs and Recurrent Neural Networks: https://skymind.ai/wiki/lstm
• RNN in Keras: https://hackernoon.com/rnn-or-recurrent-neural-network-for-noobs-a9afbb00e860