links.txt

https://allan.reyes.sh/projects/gt-rl-lunar-lander/

https://github.com/gabrielgarza/openai-gym-policy-gradient

https://medium.com/@gabogarza/deep-reinforcement-learning-policy-gradients-8f6df70404e6

https://docs.google.com/document/d/1QeFLnEFWg7oFskMnmNuRzSQpwb7256GqUrc-J4ZNv0I/edit

https://arxiv.org/pdf/1810.03779.pdf

https://www.nature.com/articles/nature14236 


https://web.stanford.edu/class/psych209/Readings/MnihEtAlHassibis15NatureControlDeepRL.pdf

https://arxiv.org/pdf/1511.05952.pdf

https://github.com/openai/gym

https://gym.openai.com/envs/LunarLander-v2/

https://www.nature.com/articles/nature14236

https://github.com/cpow-89/Extended-Deep-Q-Learning-For-Open-AI-Gym-Environments

https://www.sciencedirect.com/science/article/pii/0893608089900038

https://www.alexirpan.com/2018/02/14/rl-hard.html

Lectures and Course of RL
https://www.youtube.com/watch?v=lvoHnicueoE

http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html