Reinforcement_Learning

Resources

• https://blog.usejournal.com/top-50-dynamic-programming-practice-problems-4208fed71aa3
• https://towardsdatascience.com/operations-research-what-when-and-how-6dc56c48fed7
• https://medium.com/@carsten.friedrich/teaching-a-computer-to-play-tic-tac-toe-88feb838b5e3
• https://github.com/dennybritz/reinforcement-learning.git

Sutton and Barto Book

• http://incompleteideas.net/book/the-book-2nd.html

Double Q-Learning

• https://papers.nips.cc/paper/3964-double-q-learning.pdf
• https://towardsdatascience.com/double-q-learning-the-easy-way-a924c4085ec3

Graphs and Reinforcement Learning

• https://arxiv.org/abs/2001.11279

Deep Q-Learning with Pytorch

• https://www.youtube.com/watch?v=UlJzzLYgYoE

Graph Theory

• http://people.cs.uchicago.edu/~laci/19graphs/#texts